Triple

T347765
Position Surface form Disambiguated ID Type / Status
Subject Mayor of San Francisco E6977 entity
Predicate officeHolder P537 FINISHED
Object London Breed E587 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: London Breed | Statement: [Mayor of San Francisco, officeHolder, London Breed]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: London Breed
Context triple: [Mayor of San Francisco, officeHolder, London Breed]
  • A. London Breed chosen
    London Breed is an American politician serving as the mayor of San Francisco and the first Black woman to hold that office.
  • B. Orpington
    Orpington is a popular dual-purpose chicken breed known for its large size, docile temperament, and good egg-laying and meat-producing qualities.
  • C. Orpington
    Orpington is a suburban town in the London Borough of Bromley, historically part of Kent, known for its commuter links to central London and its role as a residential and commercial hub in southeast Greater London.
  • D. Chocolate City
    Chocolate City is a popular nickname for Washington, D.C., highlighting its historically large and influential African American population and culture.
  • E. City of London
    The City of London is the historic and financial core of Greater London, renowned as one of the world’s leading global finance and business centers.
  • 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_69a2e7951ba08190960e90823b5078f3 completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2eb1c1c908190b3a01de893207ed1 completed Feb. 28, 2026, 1:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3d7ecd23881909e10bb84f266d2d1 completed March 1, 2026, 6:08 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.