Triple
T16532886
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wangen-Brüttisellen |
E401611
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Wangen
Wangen is a locality in the Swiss municipality of Wangen-Brüttisellen in the canton of Zurich.
|
E1217609
|
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: Wangen | Statement: [Wangen-Brüttisellen, hasPart, Wangen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wangen Context triple: [Wangen-Brüttisellen, hasPart, Wangen]
-
A.
Wustermark
Wustermark is a municipality in the Havelland district of Brandenburg, Germany, located west of Berlin and known for its mix of rural character and growing residential and commercial areas.
-
B.
Wuhletal
Wuhletal is a valley landscape in Berlin shaped by the course of the Wuhle river, featuring green spaces, walking paths, and recreational areas.
-
C.
Weidenau
Weidenau is a district of the city of Siegen in North Rhine-Westphalia, Germany.
-
D.
Haslach
Haslach is a district or locality that forms part of the town of Oberkirch in the German state of Baden-Württemberg.
-
E.
Haslach
Haslach is a town in southern Germany historically noted as the site of the Battle of Haslach-Jungingen during the Napoleonic Wars.
- 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: Wangen Triple: [Wangen-Brüttisellen, hasPart, Wangen]
Generated description
Wangen is a locality in the Swiss municipality of Wangen-Brüttisellen in the canton of Zurich.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wangen Target entity description: Wangen is a locality in the Swiss municipality of Wangen-Brüttisellen in the canton of Zurich.
-
A.
Wustermark
Wustermark is a municipality in the Havelland district of Brandenburg, Germany, located west of Berlin and known for its mix of rural character and growing residential and commercial areas.
-
B.
Wuhletal
Wuhletal is a valley landscape in Berlin shaped by the course of the Wuhle river, featuring green spaces, walking paths, and recreational areas.
-
C.
Weidenau
Weidenau is a district of the city of Siegen in North Rhine-Westphalia, Germany.
-
D.
Haslach
Haslach is a district or locality that forms part of the town of Oberkirch in the German state of Baden-Württemberg.
-
E.
Haslach
Haslach is a town in southern Germany historically noted as the site of the Battle of Haslach-Jungingen during the Napoleonic Wars.
- 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_69d883838abc8190bc79cb2d41733ce2 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32ed97b0881909de106418aca8180 |
completed | April 18, 2026, 7:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a006093244081909ae74674de966d6d |
completed | May 10, 2026, 10:40 a.m. |
| NEDg | Description generation | batch_6a00615d3edc81909f0eb3e6210d00ee |
completed | May 10, 2026, 10:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0062128a388190beb52fa173ed7826 |
completed | May 10, 2026, 10:46 a.m. |
Created at: April 10, 2026, 5:15 a.m.