Triple

T15545835
Position Surface form Disambiguated ID Type / Status
Subject Woodford Aerodrome E370605 entity
Predicate locatedIn P40 FINISHED
Object Woodford E488577 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: Woodford | Statement: [Woodford Aerodrome, locatedIn, Woodford]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Woodford
Context triple: [Woodford Aerodrome, locatedIn, Woodford]
  • A. Woodford
    Woodford is a suburban area in East London, England, known for its residential character and connectivity on the London Underground network.
  • B. Woodford chosen
    Woodford is a town in Greater Manchester, England, historically notable for its large Avro aircraft manufacturing plant.
  • C. Woodford
    Woodford is a small township in the Blue Mountains region of New South Wales, Australia, known for its bushwalking trails and historic sites.
  • D. Winehaven
    Winehaven is a historic former winery complex on San Francisco Bay that once served as one of the world’s largest wine producers and later as a U.S. Navy fuel depot.
  • E. Marwood
    Marwood is the anxious, aspiring actor and narrator who accompanies the flamboyant Withnail in the British cult film "Withnail & I."
  • 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_69d85cc521a08190921fb50319dddc34 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04a9073948190b6e9cf504aacc7cf completed April 16, 2026, 2:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff455a38188190a593c70be09d6103 completed May 9, 2026, 2:31 p.m.
Created at: April 10, 2026, 4:07 a.m.