Triple

T4970632
Position Surface form Disambiguated ID Type / Status
Subject Bibury E111638 entity
Predicate near P350 FINISHED
Object Burford E87872 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: Burford | Statement: [Bibury, near, Burford]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Burford
Context triple: [Bibury, near, Burford]
  • A. Burford chosen
    Burford is a historic medieval market town in Oxfordshire, England, often regarded as one of the most picturesque settlements in the Cotswolds.
  • B. Battisford
    Battisford is a small rural village and civil parish located in the English county of Suffolk.
  • C. Belchford
    Belchford is a small rural village in eastern England, situated within the scenic, rolling countryside of the Lincolnshire Wolds.
  • D. Burtonwood
    Burtonwood is a village in Cheshire, England, historically associated with coal mining and the former RAF Burtonwood airbase.
  • E. Newbourne
    Newbourne is a small rural village and civil parish in the English county of Suffolk, known for its countryside setting and traditional village character.
  • 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_69bd441a0eb481908050fa4273b19eae completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd7213bf0081909b3c496f1804dc4c completed March 20, 2026, 4:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69be81f749fc8190ad4dc68f7e2086b1 completed March 21, 2026, 11:33 a.m.
Created at: March 20, 2026, 1:33 p.m.