Triple

T6782521
Position Surface form Disambiguated ID Type / Status
Subject Audenshaw E155717 entity
Predicate adjacentTo P224 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: [Audenshaw, adjacentTo, Fairfield]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fairfield
Context triple: [Audenshaw, adjacentTo, Fairfield]
  • A. 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.
  • B. Fairfield
    Fairfield is the middle name of John F. Dryden, the American businessman and politician who founded the Prudential Insurance Company of America.
  • C. Fairfield chosen
    Fairfield is a small settlement located within the High Peak area of Derbyshire in England.
  • D. Fairfield
    Fairfield is a prominent mountain in England's Lake District, known for its high plateau summit and popular horseshoe ridge walk offering extensive views.
  • E. Lenox
    Lenox is a small, historic town in western Massachusetts known for its cultural attractions, including Tanglewood, the summer home of the Boston Symphony Orchestra.
  • 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_69c688162bf8819088b664b5c3b5be7a completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d289958481908ad4f9467a107083 completed March 27, 2026, 6:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69c71a8263508190ad5cace74d7d7ac2 completed March 28, 2026, 12:02 a.m.
Created at: March 27, 2026, 2:14 p.m.