Triple

T20261586
Position Surface form Disambiguated ID Type / Status
Subject Henriette Catherine of Nassau E498850 entity
Predicate birthPlace P1 FINISHED
Object The Hague 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: The Hague | Statement: [Henriette Catherine of Nassau, birthPlace, The Hague]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Hague
Context triple: [Henriette Catherine of Nassau, birthPlace, 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. La Haye
    La Haye is a small hamlet in Belgium best known for its proximity to key positions on the Waterloo battlefield.
  • C. Hague
    Hague is a British Conservative politician and life peer who served as Leader of the Opposition and later as Foreign Secretary of the United Kingdom.
  • D. Duivendrecht
    Duivendrecht is a village in North Holland, Netherlands, situated just southeast of Amsterdam and known for its important railway junction and commuter links.
  • E. 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.
  • 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_69da6275fa6c8190952924930adee150 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e674ca77c081909cd2f44ccfe3662d completed April 20, 2026, 6:47 p.m.
Created at: April 11, 2026, 11:41 p.m.