Triple

T10332523
Position Surface form Disambiguated ID Type / Status
Subject Ministry of Defence E242912 entity
Predicate headquartersLocation P62 FINISHED
Object Whitehall, London E787625 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: Whitehall, London | Statement: [Ministry of Defence, headquartersLocation, Whitehall, London]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Whitehall, London
Context triple: [Ministry of Defence, headquartersLocation, Whitehall, London]
  • A. Whitehall, London chosen
    Whitehall, London is a historic street and government district in central London that has long been the center of British political and administrative power.
  • B. Westminster
    Westminster is a city in Orange County, California, known for its large Vietnamese-American community and vibrant Little Saigon district.
  • C. Westminster
    Westminster is a suburban city in the Denver metropolitan area of Colorado, known for its residential communities, parks, and proximity to the Rocky Mountains.
  • D. Westminster
    Westminster is a city in northern Maryland that serves as the county seat of Carroll County and a regional hub for the surrounding communities.
  • E. Aldermanbury, London
    Aldermanbury, London is a historic street and area in the City of London, known for its medieval origins and association with notable churches and civic buildings.
  • 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_69d381af787481908bc401325c760a88 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4dfc2b5a081908d700c5e199e24a7 completed April 7, 2026, 10:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7fb69410c81909b33e44a04ab77d9 completed April 9, 2026, 7:18 p.m.
Created at: April 6, 2026, 11:53 a.m.