Triple

T15983833
Position Surface form Disambiguated ID Type / Status
Subject Raad voor het Koninkrijk E387641 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: [Raad voor het Koninkrijk, locatedIn, Den Haag]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Den Haag
Context triple: [Raad voor het Koninkrijk, 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. Amsterdam
    Amsterdam is a Booker Prize–winning novel by British author Ian McEwan that explores moral compromise and revenge through the intertwined lives of two old friends.
  • E. Amsterdam
    Amsterdam is a historic city in upstate New York located along the Mohawk River, known for its former textile industry and canal-era heritage.
  • 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_69d86da94ccc819083d187f5dc6a123e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e15756d6488190ac35da00e96ce21d completed April 16, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a002d982788819082fcdd8ab5c80513 completed May 10, 2026, 7:02 a.m.
Created at: April 10, 2026, 4:54 a.m.