Triple

T8553962
Position Surface form Disambiguated ID Type / Status
Subject SV DIOS E202514 entity
Predicate basedIn P40 FINISHED
Object Nieuw-Vennep E40333 NE FINISHED

How this triple was built (2 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: Nieuw-Vennep | Statement: [SV DIOS, basedIn, Nieuw-Vennep]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nieuw-Vennep
Context triple: [SV DIOS, basedIn, Nieuw-Vennep]
  • A. Nieuw-Vennep chosen
    Nieuw-Vennep is a town in the Dutch province of North Holland, known as a residential community within the municipality of Haarlemmermeer.
  • B. Nieuw-Milligen
    Nieuw-Milligen is a small locality in the Netherlands known primarily for hosting a major Royal Netherlands Air Force air operations control station.
  • C. Zwaanendael
    Zwaanendael was a short-lived 17th-century Dutch colonial settlement established in what is now Lewes, Delaware.
  • D. Noorden
    Noorden is a village in the Dutch province of South Holland, known for its rural character and surrounding lakes and peatland nature reserves.
  • E. Veenendaal
    Veenendaal is a Dutch town and municipality in the central Netherlands, known for its location between Utrecht and the Veluwe and its mix of residential, commercial, and light industrial areas.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca832610e08190b3b6c6cd2c250255 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe8894e7c8190bc0ae2ceec473ecb completed March 31, 2026, 3:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69cea868de6881908e87270a1fea0e4b completed April 2, 2026, 5:33 p.m.
Created at: March 30, 2026, 6:19 p.m.