Triple
T6952496
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kinkerbrug |
E160960
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object |
Oud-West
Oud-West is a lively Amsterdam neighborhood known for its mix of historic residential streets, trendy cafes, and proximity to the city center.
|
E630733
|
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: Oud-West | Statement: [Kinkerbrug, locatedIn, Oud-West]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oud-West Context triple: [Kinkerbrug, locatedIn, Oud-West]
-
A.
Oostvoorne
Oostvoorne is a coastal village in the western Netherlands known for its dunes, beaches, and nature reserves along the North Sea.
-
B.
Westerkwartier
Westerkwartier is a municipality in the Dutch province of Groningen, known for its rural landscapes, historic villages, and distinctive regional culture.
-
C.
Oosteinde
Oosteinde is a small village in the Dutch municipality of De Wolden in the province of Drenthe.
-
D.
Oelde
Oelde is a small town in the district of Warendorf in North Rhine-Westphalia, Germany, known for its parks, family-friendly attractions, and industrial heritage.
-
E.
Noorden
Noorden is a village in the Dutch province of South Holland, known for its rural character and surrounding lakes and peatland nature reserves.
- 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: Oud-West Triple: [Kinkerbrug, locatedIn, Oud-West]
Generated description
Oud-West is a lively Amsterdam neighborhood known for its mix of historic residential streets, trendy cafes, and proximity to the city center.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Oud-West Target entity description: Oud-West is a lively Amsterdam neighborhood known for its mix of historic residential streets, trendy cafes, and proximity to the city center.
-
A.
Oostvoorne
Oostvoorne is a coastal village in the western Netherlands known for its dunes, beaches, and nature reserves along the North Sea.
-
B.
Westerkwartier
Westerkwartier is a municipality in the Dutch province of Groningen, known for its rural landscapes, historic villages, and distinctive regional culture.
-
C.
Oosteinde
Oosteinde is a small village in the Dutch municipality of De Wolden in the province of Drenthe.
-
D.
Oelde
Oelde is a small town in the district of Warendorf in North Rhine-Westphalia, Germany, known for its parks, family-friendly attractions, and industrial heritage.
-
E.
Noorden
Noorden is a village in the Dutch province of South Holland, known for its rural character and surrounding lakes and peatland nature reserves.
- 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_69c68850419081909fb426b8f5a304c7 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6dab18d648190a2f238fce3e59365 |
completed | March 27, 2026, 7:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c758797228819089362f137e9eb747 |
completed | March 28, 2026, 4:26 a.m. |
| NEDg | Description generation | batch_69c759a5eebc8190934ea04a2ce20287 |
completed | March 28, 2026, 4:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c75a19d27c819089cfa625dfccfe6f |
completed | March 28, 2026, 4:33 a.m. |
Created at: March 27, 2026, 2:29 p.m.