Triple
T17010281
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Passau |
E412680
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Altstadt
Altstadt is the historic old town district of Passau, known for its picturesque medieval streets and baroque architecture at the confluence of three rivers.
|
E1244651
|
NE FINISHED |
How this triple was built (4 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: Altstadt | Statement: [Passau, hasPart, Altstadt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Altstadt Context triple: [Passau, hasPart, Altstadt]
-
A.
Altstadt
Altstadt is the historic old town district of Dresden, Germany, known for its baroque architecture and major cultural landmarks.
-
B.
Altstadt
Altstadt is the historic old town district of Koblenz, Germany, known for its preserved medieval streets, squares, and traditional architecture along the Rhine and Moselle rivers.
-
C.
Altstadt
Altstadt is the historic old town of Zürich, Switzerland, known for its medieval streets, preserved architecture, and cultural landmarks along the Limmat River.
-
D.
Altstadt
Altstadt is the historic old town district of many German-speaking cities, typically characterized by medieval streets, traditional architecture, and prominent landmarks.
-
E.
Altstadt
Altstadt is the historic old town of Düsseldorf, Germany, known for its dense concentration of bars, traditional breweries, and cultural landmarks along the Rhine River.
- 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: Altstadt Triple: [Passau, hasPart, Altstadt]
Generated description
Altstadt is the historic old town district of Passau, known for its picturesque medieval streets and baroque architecture at the confluence of three rivers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Altstadt Target entity description: Altstadt is the historic old town district of Passau, known for its picturesque medieval streets and baroque architecture at the confluence of three rivers.
-
A.
Altstadt
Altstadt is the historic old town district of Koblenz, Germany, known for its preserved medieval streets, squares, and traditional architecture along the Rhine and Moselle rivers.
-
B.
Altstadt
Altstadt is the historic old town of Salzburg, Austria, renowned for its well-preserved baroque architecture and status as a UNESCO World Heritage Site.
-
C.
Altstadt
Altstadt is the historic old town district of Dresden, Germany, known for its baroque architecture and major cultural landmarks.
-
D.
Altstadt
Altstadt is the historic old town district of many German-speaking cities, typically characterized by medieval streets, traditional architecture, and prominent landmarks.
-
E.
Altstadt
Altstadt is the historic old town district of Höchst, characterized by its preserved medieval architecture and traditional charm.
- F. None of above. chosen
Provenance (5 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_69d886cc4170819093deddc7b8b4b6a7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d47a8444819081f1262eb7dbda40 |
completed | April 18, 2026, 6:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00dc241ec88190a3e868ab88b26f09 |
completed | May 10, 2026, 7:27 p.m. |
| NEDg | Description generation | batch_6a0114d7d03c8190943777f4eac956fd |
completed | May 10, 2026, 11:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01159a08b081908fc82adc7cca532a |
completed | May 10, 2026, 11:32 p.m. |
Created at: April 10, 2026, 5:33 a.m.