Triple

T17239678
Position Surface form Disambiguated ID Type / Status
Subject M1 E418454 entity
Predicate hasServiceArea P82 FINISHED
Object Woodall services E418458 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: Woodall services | Statement: [M1, hasServiceArea, Woodall services]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Woodall services
Context triple: [M1, hasServiceArea, Woodall services]
  • A. Woodall services chosen
    Woodall services is a motorway service area in South Yorkshire, England, providing fuel, food, and rest facilities to travelers on the M1.
  • B. Woolley Edge services
    Woolley Edge services is a motorway service area in West Yorkshire, England, providing fuel, food, and rest facilities for travelers on the M1.
  • C. Woodall
    Woodall is a masculine given name most notably associated with American lawyer and civic leader Woodall Rodgers, a former mayor of Dallas, Texas.
  • D. Woodard Corporation
    Woodard Corporation is a group of Anglican-founded independent schools in the United Kingdom, known for providing education with a strong Christian ethos.
  • E. Sheed & Ward
    Sheed & Ward is a historically significant publishing imprint known for its works in Catholic theology, religious studies, and philosophy.
  • 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_69d886d8e96081909870bff6c3d0bf09 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42e1f385c8190ae44e702923b6f66 completed April 19, 2026, 1:21 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0170f1511c8190b70cb37e713a406a completed May 11, 2026, 6:02 a.m.
Created at: April 10, 2026, 5:39 a.m.