Triple

T3980041
Position Surface form Disambiguated ID Type / Status
Subject TS E85733 entity
Predicate hasHeadquarters P62 FINISHED
Object The Hague, Netherlands 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: The Hague, Netherlands | Statement: [TS, hasHeadquarters, The Hague, Netherlands]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Hague, Netherlands
Context triple: [TS, hasHeadquarters, The Hague, Netherlands]
  • 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. Leeuwenhof, The Hague
    Leeuwenhof in The Hague is a historic residence in the Netherlands best known as the birthplace of William IV, Prince of Orange.
  • C. Utrecht, Netherlands
    Utrecht is a historic Dutch city known for its medieval old town, prominent religious and educational institutions, and role as a major cultural and economic center in the Netherlands.
  • D. Haarlem, Netherlands
    Haarlem, Netherlands is a historic Dutch city near Amsterdam known for its medieval architecture, cultural heritage, and role as the capital of North Holland.
  • E. Amstelveen, Netherlands
    Amstelveen, Netherlands is a suburban municipality just south of Amsterdam known for hosting major corporate offices, including those of Dutch airline subsidiaries, and for its residential and green character.
  • 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_69aed93908348190a26c8aaf4fab3e86 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef9d9d8848190aa06eaf5d281fa16 completed March 9, 2026, 4:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5a831b0408190a0862803844d779d completed March 14, 2026, 6:25 p.m.
Created at: March 9, 2026, 3:33 p.m.