Triple
T2666653
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Westerkwartier |
E55651
|
entity |
| Predicate | formedByMergerOf |
P77
|
FINISHED |
| Object |
Grootegast
Grootegast is a former municipality in the Dutch province of Groningen that was incorporated into the larger municipality of Westerkwartier.
|
E288576
|
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: Grootegast | Statement: [Westerkwartier, formedByMergerOf, Grootegast]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grootegast Context triple: [Westerkwartier, formedByMergerOf, Grootegast]
-
A.
Langebaan
Langebaan is a coastal town on South Africa’s West Coast known for its sheltered lagoon, water sports, and proximity to the West Coast National Park.
-
B.
Klaaswaal
Klaaswaal is a village in the Dutch province of South Holland, known for its rural character and location on the island of Hoeksche Waard.
-
C.
Hartenbos
Hartenbos is a popular coastal holiday town and beach resort in South Africa’s Western Cape, near Mossel Bay, known for its family-friendly atmosphere and seaside tourism.
-
D.
Welgelegen
Welgelegen is a residential neighborhood within the town of Nieuw-Vennep in the Dutch province of North Holland.
-
E.
Veluwe
Veluwe is a forested highland region in the central Netherlands known for its extensive nature reserves, heathlands, and sand drifts.
- 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: Grootegast Triple: [Westerkwartier, formedByMergerOf, Grootegast]
Generated description
Grootegast is a former municipality in the Dutch province of Groningen that was incorporated into the larger municipality of Westerkwartier.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Grootegast Target entity description: Grootegast is a former municipality in the Dutch province of Groningen that was incorporated into the larger municipality of Westerkwartier.
-
A.
Langebaan
Langebaan is a coastal town on South Africa’s West Coast known for its sheltered lagoon, water sports, and proximity to the West Coast National Park.
-
B.
Klaaswaal
Klaaswaal is a village in the Dutch province of South Holland, known for its rural character and location on the island of Hoeksche Waard.
-
C.
Hartenbos
Hartenbos is a popular coastal holiday town and beach resort in South Africa’s Western Cape, near Mossel Bay, known for its family-friendly atmosphere and seaside tourism.
-
D.
Welgelegen
Welgelegen is a residential neighborhood within the town of Nieuw-Vennep in the Dutch province of North Holland.
-
E.
Veluwe
Veluwe is a forested highland region in the central Netherlands known for its extensive nature reserves, heathlands, and sand drifts.
- 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_69ab49e54de48190be708cd1cf8be073 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd97040e48190b0a87489f108810e |
completed | March 7, 2026, 7:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afa058fdd08190a355fc8131cd6695 |
completed | March 10, 2026, 4:38 a.m. |
| NEDg | Description generation | batch_69afa15a8a94819095273a3ea37e2c73 |
completed | March 10, 2026, 4:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afa1e4ffb08190a6d96665ee566ea7 |
completed | March 10, 2026, 4:45 a.m. |
Created at: March 6, 2026, 9:54 p.m.