Triple

T18792313
Position Surface form Disambiguated ID Type / Status
Subject Carlisle County E459546 entity
Predicate hasLargestCity P235 FINISHED
Object Bardwell 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: Bardwell | Statement: [Carlisle County, hasLargestCity, Bardwell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bardwell
Context triple: [Carlisle County, hasLargestCity, Bardwell]
  • A. Bardwell
    Bardwell is a small rural village and civil parish in the county of Suffolk in eastern England.
  • B. Bardwell chosen
    Bardwell is a small city in western Kentucky that serves as the administrative and governmental center of Carlisle County.
  • C. Bewdley
    Bewdley is a historic riverside town in Worcestershire, England, known for its Georgian architecture and picturesque setting on the River Severn.
  • D. Bainsford
    Bainsford is a district in Falkirk, Scotland, historically associated with local industry and early Scottish football.
  • E. Bowdon
    Bowdon is an affluent suburban area in Greater Manchester, England, known for its Victorian and Edwardian architecture and proximity to Altrincham.
  • 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_69d8d396f54c8190ba49db31e8743842 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e59787e5988190883ed575ab4b6dec completed April 20, 2026, 3:03 a.m.
Created at: April 10, 2026, 11:53 a.m.