Triple

T22020047
Position Surface form Disambiguated ID Type / Status
Subject Gower E543819 entity
Predicate contains P35 FINISHED
Object Bishopston 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: Bishopston | Statement: [Gower, contains, Bishopston]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bishopston
Context triple: [Gower, contains, Bishopston]
  • A. Bishopston chosen
    Bishopston is a coastal village in Swansea, Wales, known for its scenic location near the Gower Peninsula’s cliffs and beaches.
  • B. Baillieston
    Baillieston is a residential suburb in the east end of Glasgow, Scotland, situated near major transport routes including the M73 motorway.
  • C. Bishopbriggs
    Bishopbriggs is a suburban town in East Dunbartonshire, Scotland, situated just north of Glasgow and functioning largely as a commuter community for the city.
  • D. Bearsden
    Bearsden is an affluent suburban town in East Dunbartonshire, Scotland, known for its residential character and proximity to Glasgow.
  • E. Kelvinside
    Kelvinside is an affluent residential district in Glasgow, Scotland, known for its Victorian architecture, leafy streets, and proximity to the River Kelvin.
  • 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_69e11e2e8ea4819084210fe06d3a1b8d completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127c6b5fc8190bc49ddb058f28a44 completed April 28, 2026, 9:33 p.m.
Created at: April 16, 2026, 8:23 p.m.