Triple
T4088288
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Twente |
E87641
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Wierden
Wierden is a municipality and town in the Dutch province of Overijssel, located in the Twente region of the Netherlands.
|
E628782
|
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: Wierden | Statement: [Twente, hasMunicipality, Wierden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wierden Context triple: [Twente, hasMunicipality, Wierden]
-
A.
Oosterwijtwerd
Oosterwijtwerd is a small village in the province of Groningen in the northern Netherlands, known for its rural character and historic church.
-
B.
Yerseke
Yerseke is a Dutch village in the province of Zeeland, best known for its mussel and oyster farming along the Eastern Scheldt.
-
C.
Nieuwendijk
Nieuwendijk is one of Amsterdam’s oldest and busiest shopping streets, running through the historic city center near Dam Square.
-
D.
Leusden
Leusden is a Dutch town and municipality in the central Netherlands, known for its green residential character and proximity to the city of Amersfoort.
-
E.
Lewedorp
Lewedorp is a small village in the Dutch province of Zeeland, located on the former island of Zuid-Beveland.
- 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: Wierden Triple: [Twente, hasMunicipality, Wierden]
Generated description
Wierden is a municipality and town in the Dutch province of Overijssel, located in the Twente region of the Netherlands.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wierden Target entity description: Wierden is a municipality and town in the Dutch province of Overijssel, located in the Twente region of the Netherlands.
-
A.
Oosterwijtwerd
Oosterwijtwerd is a small village in the province of Groningen in the northern Netherlands, known for its rural character and historic church.
-
B.
Yerseke
Yerseke is a Dutch village in the province of Zeeland, best known for its mussel and oyster farming along the Eastern Scheldt.
-
C.
Nieuwendijk
Nieuwendijk is one of Amsterdam’s oldest and busiest shopping streets, running through the historic city center near Dam Square.
-
D.
Leusden
Leusden is a Dutch town and municipality in the central Netherlands, known for its green residential character and proximity to the city of Amersfoort.
-
E.
Lewedorp
Lewedorp is a small village in the Dutch province of Zeeland, located on the former island of Zuid-Beveland.
- 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_69aed94425148190be337845d56fac22 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefca899008190b5ada98bdb79639f |
completed | March 9, 2026, 5 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c750f84be081908fa4738e09cb884e |
completed | March 28, 2026, 3:54 a.m. |
| NEDg | Description generation | batch_69c7524d677c81909531ba9bb46f2632 |
completed | March 28, 2026, 4 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c752bef2808190843f3cad53aa5702 |
completed | March 28, 2026, 4:02 a.m. |
Created at: March 9, 2026, 3:39 p.m.