Triple

T10071886
Position Surface form Disambiguated ID Type / Status
Subject Voorne-Putten E213647 entity
Predicate hasTown P847 FINISHED
Object Oostvoorne E119127 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: Oostvoorne | Statement: [Voorne-Putten, hasTown, Oostvoorne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oostvoorne
Context triple: [Voorne-Putten, hasTown, Oostvoorne]
  • A. Oostvoorne chosen
    Oostvoorne is a coastal village in the western Netherlands known for its dunes, beaches, and nature reserves along the North Sea.
  • B. 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.
  • C. Dongen
    Dongen is a municipality and town in the province of North Brabant in the southern Netherlands.
  • D. Dinteloord
    Dinteloord is a village in the Dutch province of North Brabant, known for its agricultural surroundings and sugar beet processing industry.
  • E. Oostgaarde
    Oostgaarde is a residential district in the Dutch town of Capelle aan den IJssel, located near Rotterdam in the province of South Holland.
  • 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_69ca839add308190b57d53b4ec21f2d0 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdd01279388190b94c8def00425c78 completed April 2, 2026, 2:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d29aaa61308190b134b49a6c1c1131 completed April 5, 2026, 5:23 p.m.
Created at: March 30, 2026, 8:59 p.m.