Triple

T20791462
Position Surface form Disambiguated ID Type / Status
Subject Bilthoven E511786 entity
Predicate hasNeighbouringSettlement P4647 FINISHED
Object De Bilt NE NERFINISHED

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: De Bilt | Statement: [Bilthoven, hasNeighbouringSettlement, De Bilt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: De Bilt
Context triple: [Bilthoven, hasNeighbouringSettlement, De Bilt]
  • A. De Bilt chosen
    De Bilt is a Dutch municipality and town in the central Netherlands, known for hosting the headquarters of the Royal Netherlands Meteorological Institute (KNMI).
  • B. Bowling Green
    Bowling Green is a small historic town in eastern Virginia that serves as the administrative and commercial center of Caroline County.
  • C. Bowling Green
    Bowling Green is a small public park and historic site in Lower Manhattan, New York City, known as the city’s oldest park and for its proximity to the Financial District and Wall Street.
  • D. Udelny Park
    Udelny Park is a large urban green space in Saint Petersburg, Russia, known for its wooded areas, walking paths, and recreational facilities.
  • E. Colegrove
    Colegrove is the named petitioner in the U.S. Supreme Court case Colegrove v. Green, which addressed issues of legislative apportionment and political representation.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4cb83948190bd57bec21d78ed53 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c2910d488190bc4be37512effc86 completed April 21, 2026, 12:19 a.m.
Created at: April 16, 2026, 12:38 p.m.