Triple

T18786331
Position Surface form Disambiguated ID Type / Status
Subject Chorleywood railway station E459385 entity
Predicate servedPlace P3936 FINISHED
Object Chorleywood 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: Chorleywood | Statement: [Chorleywood railway station, servedPlace, Chorleywood]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chorleywood
Context triple: [Chorleywood railway station, servedPlace, Chorleywood]
  • A. Chorleywood chosen
    Chorleywood is a commuter village in South East England, known for its green spaces and location on the Metropolitan line within the London commuter belt.
  • B. Chorley
    Chorley is a market town in North West England known historically for its cotton industry and as part of the borough and district within the county of Lancashire.
  • C. Wantage
    Wantage is a historic market town in Oxfordshire, England, best known as the birthplace of King Alfred the Great.
  • D. Turnford
    Turnford is a village and residential area in the Broxbourne district of Hertfordshire, England, forming part of the London commuter belt.
  • E. Banbury
    Banbury is a historic market town in Oxfordshire, England, known for its medieval cross, canal-side setting, and association with the traditional Banbury cake.
  • 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_69d8d396f54c8190ba49db31e8743842 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5978154ac819096356d2a488b45f0 completed April 20, 2026, 3:03 a.m.
Created at: April 10, 2026, 11:52 a.m.