Triple

T18101854
Position Surface form Disambiguated ID Type / Status
Subject M1 motorway E433238 entity
Predicate hasServiceArea P82 FINISHED
Object Woolley Edge services 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: Woolley Edge services | Statement: [M1 motorway, hasServiceArea, Woolley Edge services]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Woolley Edge services
Context triple: [M1 motorway, hasServiceArea, Woolley Edge services]
  • A. Woolley Edge services chosen
    Woolley Edge services is a motorway service area in West Yorkshire, England, providing fuel, food, and rest facilities for travelers on the M1.
  • B. Woolley
    Woolley is a surname most notably associated with American actor Monty Woolley, known for his distinguished stage and film career in the mid-20th century.
  • C. Woolley
    Woolley is a small village in West Yorkshire, England, situated within the metropolitan borough of the City of Wakefield.
  • D. Woodall services
    Woodall services is a motorway service area in South Yorkshire, England, providing fuel, food, and rest facilities to travelers on the M1.
  • E. WED Enterprises
    WED Enterprises was Walt Disney’s original creative design and engineering company, best known as the forerunner to Walt Disney Imagineering and the force behind many early Disney theme park attractions.
  • 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_69d8b90916008190a1f110bd7ced5473 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ddb6fed8819090798683353a5c08 completed April 19, 2026, 1:50 p.m.
Created at: April 10, 2026, 10:28 a.m.