Triple

T7145781
Position Surface form Disambiguated ID Type / Status
Subject Bishopton E166563 entity
Predicate hasPostTown P2711 FINISHED
Object Bishopton E166563 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: Bishopton | Statement: [Bishopton, hasPostTown, Bishopton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bishopton
Context triple: [Bishopton, hasPostTown, Bishopton]
  • A. Bishopton chosen
    Bishopton is a village in western Scotland known for its rural character and proximity to the River Clyde and the city of Glasgow.
  • B. Buellton
    Buellton is a small city in California’s Santa Ynez Valley known for its wineries, roadside attractions, and role as a gateway to the Santa Barbara wine country.
  • C. Burtonwood
    Burtonwood is a village in Cheshire, England, historically associated with coal mining and the former RAF Burtonwood airbase.
  • D. Ashopton
    Ashopton was a village in Derbyshire, England, that was submerged in the mid-20th century during the creation of Ladybower Reservoir.
  • E. Battisford
    Battisford is a small rural village and civil parish located in the English county of Suffolk.
  • 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_69c6888579d481909e05a8d6b81bf733 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e7d3c48c8190a71a61a1d50cd7da completed March 27, 2026, 8:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7ada12a848190b6e98e0b1a258c17 completed March 28, 2026, 10:29 a.m.
Created at: March 27, 2026, 2:46 p.m.