Triple

T13803976
Position Surface form Disambiguated ID Type / Status
Subject Croydon Central E331713 entity
Predicate containsArea P11790 FINISHED
Object Fairfield E507381 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: Fairfield | Statement: [Croydon Central, containsArea, Fairfield]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fairfield
Context triple: [Croydon Central, containsArea, Fairfield]
  • A. Fairfield
    Fairfield is the middle name of John F. Dryden, the American businessman and politician who founded the Prudential Insurance Company of America.
  • B. Fairfield
    Fairfield is a midsized city in Northern California that serves as the county seat of Solano County and lies between San Francisco and Sacramento in the greater Bay Area region.
  • C. Fairfield chosen
    Fairfield is a small settlement located within the High Peak area of Derbyshire in England.
  • D. Fairfield
    Fairfield is a town in the United States state of Connecticut, known for its affluent suburban character and coastal location along Long Island Sound.
  • E. Fairfield
    Fairfield is a small community located within Nelson County in the U.S. state of Kentucky.
  • 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_69d81c59f8808190a851bc56afdc55e9 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de026c36108190a7436034a730a261 completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b08bd7c48190bcdf110ccd27c003 completed May 3, 2026, 8:31 p.m.
Created at: April 9, 2026, 10:12 p.m.