Triple

T4259669
Position Surface form Disambiguated ID Type / Status
Subject Épernay E96071 entity
Predicate hasTwinTown P919 FINISHED
Object Grantham E34326 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: Grantham | Statement: [Épernay, hasTwinTown, Grantham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grantham
Context triple: [Épernay, hasTwinTown, Grantham]
  • A. Grantham chosen
    Grantham is a market town in Lincolnshire, England, known historically as an important commercial and transport hub and as the birthplace of former Prime Minister Margaret Thatcher.
  • B. Brantham
    Brantham is a village and civil parish in Suffolk, England, situated near the River Stour close to the Essex border.
  • C. Highworth
    Highworth is a historic market town in Wiltshire, England, known for its elevated position and traditional architecture.
  • D. Minstead
    Minstead is a small village in Hampshire, England, best known as the burial place of Sir Arthur Conan Doyle.
  • E. Burnham Norton
    Burnham Norton is a small coastal village in Norfolk, England, known for its historic church and saltmarsh landscape near the North Sea.
  • 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_69b3454095ac81909c2494f7ff294af1 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34f7fe7348190baed8d214268b756 completed March 12, 2026, 11:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5b78825508190b2b6ca46c8e1b27c completed March 14, 2026, 7:31 p.m.
Created at: March 12, 2026, 11:06 p.m.