Triple
T9179583
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bottrop |
E220286
|
entity |
| Predicate | climateActionProgram |
P5942
|
FINISHED |
| Object |
InnovationCity Ruhr – Model City Bottrop
InnovationCity Ruhr – Model City Bottrop is an urban transformation project in Bottrop, Germany, focused on pioneering large-scale energy efficiency, climate protection, and sustainable city development in a former industrial region.
|
E781803
|
NE FINISHED |
How this triple was built (5 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: InnovationCity Ruhr – Model City Bottrop | Statement: [Bottrop, climateActionProgram, InnovationCity Ruhr – Model City Bottrop]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: InnovationCity Ruhr – Model City Bottrop Context triple: [Bottrop, climateActionProgram, InnovationCity Ruhr – Model City Bottrop]
-
A.
Siemensstadt
Siemensstadt is a Berlin neighborhood historically shaped by the Siemens industrial works and noted for its early 20th-century modernist housing developments.
-
B.
City of Essen
The City of Essen is a major urban center in Germany’s Ruhr area, historically significant as a medieval ecclesiastical seat and later as an important industrial and coal-mining hub.
-
C.
Berlin-Adlershof Science City
Berlin-Adlershof Science City is a major science and technology hub in Berlin that combines research institutes, high-tech companies, and university facilities in an integrated innovation campus.
-
D.
Dynapolis (dynamic city model)
Dynapolis (dynamic city model) is Constantinos A. Doxiadis’s theoretical framework for a continuously expanding, adaptable urban form designed to accommodate long-term growth and changing human needs.
-
E.
Livable Netherlands
Livable Netherlands is a Dutch political party known for its populist, reformist agenda and as the initial political platform of controversial politician Pim Fortuyn.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: InnovationCity Ruhr – Model City Bottrop Triple: [Bottrop, climateActionProgram, InnovationCity Ruhr – Model City Bottrop]
Generated description
InnovationCity Ruhr – Model City Bottrop is an urban transformation project in Bottrop, Germany, focused on pioneering large-scale energy efficiency, climate protection, and sustainable city development in a former industrial region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: InnovationCity Ruhr – Model City Bottrop Target entity description: InnovationCity Ruhr – Model City Bottrop is an urban transformation project in Bottrop, Germany, focused on pioneering large-scale energy efficiency, climate protection, and sustainable city development in a former industrial region.
-
A.
Siemensstadt
Siemensstadt is a Berlin neighborhood historically shaped by the Siemens industrial works and noted for its early 20th-century modernist housing developments.
-
B.
City of Essen
The City of Essen is a major urban center in Germany’s Ruhr area, historically significant as a medieval ecclesiastical seat and later as an important industrial and coal-mining hub.
-
C.
Berlin-Adlershof Science City
Berlin-Adlershof Science City is a major science and technology hub in Berlin that combines research institutes, high-tech companies, and university facilities in an integrated innovation campus.
-
D.
Dynapolis (dynamic city model)
Dynapolis (dynamic city model) is Constantinos A. Doxiadis’s theoretical framework for a continuously expanding, adaptable urban form designed to accommodate long-term growth and changing human needs.
-
E.
Livable Netherlands
Livable Netherlands is a Dutch political party known for its populist, reformist agenda and as the initial political platform of controversial politician Pim Fortuyn.
- F. None of above. chosen
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: climateActionProgram Context triple: [Bottrop, climateActionProgram, InnovationCity Ruhr – Model City Bottrop]
-
A.
climateProtection
Indicates actions, policies, or measures aimed at preventing, reducing, or mitigating harmful impacts on the climate and stabilizing the Earth’s climate system.
-
B.
environmentalProgram
chosen
Indicates that an entity is involved in, associated with, or constitutes a program or initiative aimed at protecting, managing, or improving the environment.
-
C.
climateConsiderations
Indicates that the action or decision takes into account environmental and climate-related factors, such as emissions, resilience, or climate impact.
-
D.
hasClimateAdaptation
Indicates that an entity possesses measures, features, or strategies designed to adjust to and cope with current or anticipated climate change impacts.
-
E.
climateChangeIndicator
Indicates that the subject serves as a sign, measure, or signal of the presence, extent, or impact of climate change on the related object or context.
- F. None of above.
Provenance (6 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ca83e589948190ac9907819db11ddf |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccc25064588190856c96b229d9cd60 |
completed | April 1, 2026, 6:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d054b5512c8190aa7909ef8b56b186 |
completed | April 4, 2026, midnight |
| NEDg | Description generation | batch_69d055c6b7f08190ad6ff81adffaeab1 |
completed | April 4, 2026, 12:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d05655a27c8190b0445476c10f57ce |
completed | April 4, 2026, 12:07 a.m. |
| PD | Predicate disambiguation | batch_69cc66090e5881908889dc1213815626 |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:23 p.m.