Triple

T29411
Position Surface form Disambiguated ID Type / Status
Subject London Breed E587 entity
Predicate name P16 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: [London Breed, name, London Breed]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: London Breed
Context triple: [London Breed, name, 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. Chocolate City
    Chocolate City is a popular nickname for Washington, D.C., highlighting its historically large and influential African American population and culture.
  • C. Manchester
    Manchester is a major city in northwest England known for its industrial heritage, vibrant cultural scene, and influential contributions to music, sport, and science.
  • D. London, England
    London, England is the capital and largest city of the United Kingdom, renowned as a global center for finance, culture, and politics.
  • E. The Garden City
    The Garden City is a nickname for Newton, Massachusetts, reflecting its abundant green spaces, tree-lined streets, and residential charm.
  • 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_69a2479dec388190967ba648663442c9 completed Feb. 28, 2026, 1:40 a.m.
NER Named-entity recognition batch_69a248751fa88190992b6262a44b54f3 completed Feb. 28, 2026, 1:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69a24e5d121c8190bf7bb88346dcc141 completed Feb. 28, 2026, 2:09 a.m.
Created at: Feb. 28, 2026, 1:44 a.m.