Triple

T13380945
Position Surface form Disambiguated ID Type / Status
Subject YO postcode area E319314 entity
Predicate coversTown P847 FINISHED
Object Beverley E406105 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: Beverley | Statement: [YO postcode area, coversTown, Beverley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beverley
Context triple: [YO postcode area, coversTown, Beverley]
  • A. Beverley chosen
    Beverley is a historic market town and civil parish in the East Riding of Yorkshire, England, known for its impressive Gothic minster and medieval architecture.
  • B. Beverley
    Beverley is a small rural town in Western Australia known for its agricultural community and historic country character.
  • C. Bewley
    Bewley is an English-language surname borne by various notable individuals across fields such as acting, sports, and public service.
  • D. Yorkton
    Yorkton is a small city in southeastern Saskatchewan, Canada, known as a regional hub for agriculture and services.
  • E. Barrowfield
    Barrowfield is a residential district in Glasgow, Scotland, known historically for its working-class community and proximity to major football and industrial sites in the city's East End.
  • 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_69d806b886bc8190b676e7768b8e01c5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dadce694788190881d1feac5b75720 completed April 11, 2026, 11:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7268b09808190b4ffd1db72e1f1f1 completed May 3, 2026, 10:42 a.m.
Created at: April 9, 2026, 9:33 p.m.