Triple

T10602736
Position Surface form Disambiguated ID Type / Status
Subject M4 motorway E275789 entity
Predicate hasServiceArea P82 FINISHED
Object Chieveley services E275792 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: Chieveley services | Statement: [M4 motorway, hasServiceArea, Chieveley services]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chieveley services
Context triple: [M4 motorway, hasServiceArea, Chieveley services]
  • A. Chieveley services chosen
    Chieveley services is a motorway service area in Berkshire, England, serving drivers near the junction of the M4 and A34.
  • B. Chieveley
    Chieveley is a rural village and civil parish in Berkshire, England, known for its historic church, countryside setting, and proximity to Newbury and major transport routes.
  • C. Cherwell Valley services
    Cherwell Valley services is a motorway service station in Oxfordshire, England, providing fuel, food, and rest facilities to travelers on the M40.
  • D. Cheveley
    Cheveley is a small rural village and civil parish in eastern England, known for its historic church and proximity to the horse-racing town of Newmarket.
  • E. Bletchingley
    Bletchingley is a historic village in Surrey, England, known for its medieval origins and picturesque rural setting.
  • 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_69d6aaf948d88190806cc3a8c47a3fb2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d6ded61d5c8190b13890c964b59949 completed April 8, 2026, 11:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69d95eaffcd0819098e0a06a731b602f completed April 10, 2026, 8:33 p.m.
Created at: April 8, 2026, 7:31 p.m.