Triple

T5580696
Position Surface form Disambiguated ID Type / Status
Subject Cotswold Airport E146632 entity
Predicate near P350 FINISHED
Object Kemble E211703 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: Kemble | Statement: [Cotswold Airport, near, Kemble]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kemble
Context triple: [Cotswold Airport, near, Kemble]
  • A. Kemble chosen
    Kemble is a village in Gloucestershire, England, known as a gateway to the Cotswolds and for its nearby railway station on the main line between London and Cheltenham.
  • B. Kemble
    Kemble is the middle name of American civil engineer and Union Army general Gouverneur K. Warren, noted for his role at the Battle of Gettysburg during the American Civil War.
  • C. Letitia Cropley
    Letitia Cropley is an eccentric parishioner in the British sitcom "The Vicar of Dibley," best known for her bizarre and unappetizing culinary creations.
  • D. Redgrave
    Redgrave is a small rural village and civil parish in the county of Suffolk, England.
  • E. Katharine Tennant
    Katharine Tennant was a member of the prominent Tennant family of British high society in the late 19th and early 20th centuries.
  • 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_69c0090287a08190b4098411effe970c completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c0206d62548190b8a3c6efc1825661 completed March 22, 2026, 5:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0285baa648190bf8e94740ea62466 completed March 22, 2026, 5:35 p.m.
Created at: March 22, 2026, 3:37 p.m.