Triple

T23333039
Position Surface form Disambiguated ID Type / Status
Subject William Reginald Hall E591496 entity
Predicate workLocation P7 FINISHED
Object Admiralty, Whitehall 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: Admiralty, Whitehall | Statement: [William Reginald Hall, workLocation, Admiralty, Whitehall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Admiralty, Whitehall
Context triple: [William Reginald Hall, workLocation, Admiralty, Whitehall]
  • A. Admiralty, Whitehall chosen
    Admiralty, Whitehall was the historic London headquarters of the British Admiralty, serving as the central administrative offices for the Royal Navy.
  • B. Admiralty building
    The Admiralty building is a historic landmark in Saint Petersburg, Russia, known for its distinctive golden spire and role as a former headquarters of the Imperial Russian Navy.
  • C. Whitehall, London
    Whitehall, London is a historic street and government district in central London that has long been the center of British political and administrative power.
  • D. 10 Whitehall, London
    10 Whitehall, London is a government building in central London that houses the offices of the UK Secretary of State for Wales.
  • E. Admiralty station
    Admiralty station is a major Mass Transit Railway (MTR) interchange station in Hong Kong’s central business district, connecting multiple urban and cross-harbour lines.
  • 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_69e25d20156c81908c5c53195bd9c738 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f197eecc5c81908089eb43bc701196 completed April 29, 2026, 5:32 a.m.
Created at: April 17, 2026, 5:16 p.m.