Triple

T6709769
Position Surface form Disambiguated ID Type / Status
Subject Wiltshire E153106 entity
Predicate contains P35 FINISHED
Object Chippenham E73694 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: Chippenham | Statement: [Wiltshire, contains, Chippenham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chippenham
Context triple: [Wiltshire, contains, Chippenham]
  • A. Chippenham chosen
    Chippenham is a historic market town in Wiltshire, England, known for its location on the River Avon and its role as a regional commercial and commuter hub.
  • B. Chippenham
    Chippenham is a village and civil parish in the East Cambridgeshire district of Cambridgeshire, England, known for its rural character and historic estate landscapes.
  • C. Banbury
    Banbury is a historic market town in Oxfordshire, England, known for its medieval cross, canal-side setting, and association with the traditional Banbury cake.
  • D. Didcot
    Didcot is a town in Oxfordshire, England, known historically for its railway junction and nearby power stations.
  • E. Swindon
    Swindon is a large town in Wiltshire, England, known as a major commercial and commuter hub in the southwest with strong railway and industrial heritage.
  • 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_69c68808d8d8819087369015270788fe completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d105b49c8190932246a727e2c513 completed March 27, 2026, 6:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7129620248190945b25dfda1e065e completed March 27, 2026, 11:28 p.m.
Created at: March 27, 2026, 2:06 p.m.