Triple

T8164543
Position Surface form Disambiguated ID Type / Status
Subject Ministerraad E190657 entity
Predicate locatedIn P40 FINISHED
Object Den Haag E5547 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: Den Haag | Statement: [Ministerraad, locatedIn, Den Haag]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Den Haag
Context triple: [Ministerraad, locatedIn, Den Haag]
  • A. The Hague chosen
    The Hague is a major Dutch city known as the seat of the Netherlands’ government and home to numerous international courts and organizations, including the International Court of Justice.
  • B. Rotterdam
    Rotterdam is a major Dutch port city known for having one of the world’s largest harbors and striking modern architecture.
  • C. Amsterdam
    Amsterdam is the largest city in the Netherlands, renowned as a historic commercial and cultural center characterized by its canals, trading heritage, and role as the country’s principal metropolis.
  • D. Leeuwarden
    Leeuwarden is a historic city in the northern Netherlands, known as the capital of the province of Friesland and for its rich cultural and architectural heritage.
  • E. Hilversum
    Hilversum is a Dutch city known as the country’s main media and broadcasting center, located in the province of North 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_69ca82c0ef14819083713f4473dd847c completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb4664fef881908b0dc7b158aca398 completed March 31, 2026, 3:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69cde71b7688819096b2d30a37a8a00b completed April 2, 2026, 3:48 a.m.
Created at: March 30, 2026, 5:38 p.m.