Triple

T16322373
Position Surface form Disambiguated ID Type / Status
Subject Montpelier E396328 entity
Predicate adjacentTo P224 FINISHED
Object Cotham E606062 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: Cotham | Statement: [Montpelier, adjacentTo, Cotham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cotham
Context triple: [Montpelier, adjacentTo, Cotham]
  • A. Cotham, Bristol chosen
    Cotham, Bristol is a leafy, affluent residential suburb just north of Bristol city centre, known for its Victorian and Edwardian architecture and proximity to the University of Bristol.
  • B. Keynsham
    Keynsham is a town in Somerset, England, situated between Bristol and Bath and known for its historic market-town character and riverside setting.
  • C. Roath
    Roath is a vibrant residential and commercial district in Cardiff, Wales, known for its diverse community, independent shops, and popular Roath Park with its large lake.
  • D. Banwell
    Banwell is a village and civil parish in North Somerset, England, known for its historic caves and medieval architecture.
  • E. Southwick
    Southwick is a coastal town in southern England situated between Brighton and Shoreham-by-Sea.
  • 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_69d87f255b788190a400eba031dd85d8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e296b706108190b43a05b784633050 completed April 17, 2026, 8:23 p.m.
NED1 Entity disambiguation (via context triple) batch_6a002da6e6e08190a20cc51699e12dbc completed May 10, 2026, 7:03 a.m.
Created at: April 10, 2026, 5:06 a.m.