Triple

T18111445
Position Surface form Disambiguated ID Type / Status
Subject Winchfield railway station E433483 entity
Predicate serves P98 FINISHED
Object Winchfield NE NERFINISHED

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: Winchfield | Statement: [Winchfield railway station, serves, Winchfield]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Winchfield
Context triple: [Winchfield railway station, serves, Winchfield]
  • A. Winchfield chosen
    Winchfield is a village in Hampshire, England, known for its rural character and railway station on the main line between London and Basingstoke.
  • B. Heckfield
    Heckfield is a small village in Hampshire, England, known in part as the place where former British Prime Minister Neville Chamberlain died.
  • C. Waldringfield
    Waldringfield is a small riverside village in eastern England known for its scenic setting on the River Deben and sailing activities.
  • D. Austerfield
    Austerfield is a small village in South Yorkshire, England, notable for its historic church and connections to early English history.
  • E. Winkfield
    Winkfield is a civil parish and village in Berkshire, England, situated within the unitary authority of Bracknell Forest.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b90916008190a1f110bd7ced5473 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ddd2038081909515fb6d17495cbf completed April 19, 2026, 1:51 p.m.
Created at: April 10, 2026, 10:28 a.m.