Triple

T18980523
Position Surface form Disambiguated ID Type / Status
Subject Redland E464409 entity
Predicate hasNearbyArea P4647 FINISHED
Object Cotham 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: Cotham | Statement: [Redland, hasNearbyArea, Cotham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cotham
Context triple: [Redland, hasNearbyArea, 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 (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_69d8dd008af48190a97ff1c6488edf1b completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d65c11808190810c79c91799dec0 completed April 20, 2026, 7:31 a.m.
Created at: April 10, 2026, 12:01 p.m.