Triple

T21563687
Position Surface form Disambiguated ID Type / Status
Subject Cotswold Airport E532105 entity
Predicate near P350 FINISHED
Object Kemble 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: 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 a notable British theatrical family name associated with prominent 18th- and 19th-century stage actors, including members like Sarah Siddons and John Philip Kemble.
  • C. 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.
  • D. Kemble Walters
    Kemble Walters is a rock musician best known as a guitarist for Juliette and the Licks and for his work in various alternative and hard rock projects.
  • E. Wycherly
    Wycherly is the surname of Margaret Wycherly, an English-born stage and film actress known for her character roles in early 20th-century American cinema.
  • 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_69e0c460db088190828c64206a450273 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eed2e6c19c81909eaae408d94f0625 completed April 27, 2026, 3:07 a.m.
Created at: April 16, 2026, 6:29 p.m.