Triple

T18791607
Position Surface form Disambiguated ID Type / Status
Subject Chelford railway station E459525 entity
Predicate serves P98 FINISHED
Object Chelford 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: Chelford | Statement: [Chelford railway station, serves, Chelford]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chelford
Context triple: [Chelford railway station, serves, Chelford]
  • A. Chelford chosen
    Chelford is a rural village and former civil parish in Cheshire, England, known for its agricultural surroundings and historic market connections.
  • B. Chalford
    Chalford is a picturesque village in Gloucestershire, England, known for its steep valley setting, historic mills, and traditional Cotswold stone architecture.
  • C. Cherkley
    Cherkley is a historic English country estate in Surrey, best known as the former home of newspaper magnate Lord Beaverbrook.
  • D. Yelford
    Yelford is a small rural settlement in Oxfordshire, England, known for its historic manor house and traditional village character.
  • E. Chalvey
    Chalvey is a residential and historically working-class suburb within the town of Slough in Berkshire, England.
  • 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_69e5978665388190aaefed0ec30a1ff3 completed April 20, 2026, 3:03 a.m.
Created at: April 10, 2026, 11:53 a.m.