Triple

T4941507
Position Surface form Disambiguated ID Type / Status
Subject Pieter Cort van der Linden E110944 entity
Predicate residence P75 FINISHED
Object The Hague 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 | Statement: [Pieter Cort van der Linden, residence, The Hague]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Hague
Context triple: [Pieter Cort van der Linden, residence, The Hague]
  • 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. 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.
  • C. 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.
  • D. Hilversum
    Hilversum is a Dutch city known as the country’s main media and broadcasting center, located in the province of North Holland.
  • E. Rotterdam
    Rotterdam is a major Dutch port city known for having one of the world’s largest harbors and striking modern architecture.
  • 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_69bd4415eee08190bdce70276e56a5b4 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd708ba9888190baf4e79c8f159e9f completed March 20, 2026, 4:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf06982c5081908c275019c5d6b1c1 completed March 21, 2026, 8:59 p.m.
Created at: March 20, 2026, 1:31 p.m.