Triple

T4727025
Position Surface form Disambiguated ID Type / Status
Subject RAF Cosford E104909 entity
Predicate nearestTown P350 FINISHED
Object Albrighton E110295 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: Albrighton | Statement: [RAF Cosford, nearestTown, Albrighton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Albrighton
Context triple: [RAF Cosford, nearestTown, Albrighton]
  • A. Albrighton chosen
    Albrighton is a large village and civil parish in Shropshire, England, known for its historic centre and proximity to RAF Cosford.
  • B. Clopton
    Clopton is a small rural village and civil parish located in the English county of Suffolk.
  • C. Waddington
    Waddington is a small village and civil parish in Lancashire, England, known for its picturesque setting in the Ribble Valley and traditional stone-built architecture.
  • D. Waddington
    Waddington is a village and civil parish in the North Kesteven district of Lincolnshire, England, known for its proximity to the city of Lincoln and RAF Waddington airbase.
  • E. Northbourne
    Northbourne is a small village and civil parish in Kent, England, known for its rural character and historic church.
  • 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_69bd43ed84648190ae0b7ee8e8d00482 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd644872508190887043de6c30c3da completed March 20, 2026, 3:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69be10a07bc8819086c29ec0b466ce2c completed March 21, 2026, 3:29 a.m.
Created at: March 20, 2026, 1:18 p.m.