Triple

T13905133
Position Surface form Disambiguated ID Type / Status
Subject Yealand Conyers E334328 entity
Predicate adjacentTo P224 FINISHED
Object Beetham E334325 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: Beetham | Statement: [Yealand Conyers, adjacentTo, Beetham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beetham
Context triple: [Yealand Conyers, adjacentTo, Beetham]
  • A. Beetham chosen
    Beetham is a small historic village in Cumbria, England, known for its picturesque rural setting and traditional stone buildings.
  • B. Beverley
    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.
  • C. Beverley
    Beverley is a small rural town in Western Australia known for its agricultural community and historic country character.
  • D. 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.
  • E. Betsham
    Betsham is a small village in Kent, England, situated within the DA (Dartford) postcode area.
  • 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_69d81c5eaa9c819083b1ff8689179565 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de25db1e308190aaed6a21e443cc44 completed April 14, 2026, 11:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7ce7638a88190aae1b59c00ee27ce completed May 3, 2026, 10:38 p.m.
Created at: April 9, 2026, 10:16 p.m.