Triple

T13397424
Position Surface form Disambiguated ID Type / Status
Subject Grand Junction Canal E319734 entity
Predicate terminus P388 FINISHED
Object Braunston E1016689 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: Braunston | Statement: [Grand Junction Canal, terminus, Braunston]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Braunston
Context triple: [Grand Junction Canal, terminus, Braunston]
  • A. Braunston chosen
    Braunston is a historic village in Northamptonshire, England, known as a key junction on the Grand Union and Oxford Canals and a traditional hub of the British inland waterways network.
  • B. Bramshott
    Bramshott is a historic village in Hampshire, England, known for its picturesque countryside and association with nearby heathland areas.
  • C. Branston
    Branston is a village and civil parish in the North Kesteven district of Lincolnshire, England.
  • D. Royston
    Royston is a historic market town in Hertfordshire, England, known for the mysterious medieval Royston Cave and its position at the crossroads of ancient routes.
  • E. Royston
    Royston is a masculine given name of English origin, used both as a first name and a surname.
  • 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_69d806b943cc8190b6af624d385d7e12 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dba0d9e7348190844e11dd6cbd13b0 completed April 12, 2026, 1:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f73071c0b88190bca3b15ea11c7491 completed May 3, 2026, 11:24 a.m.
Created at: April 9, 2026, 9:34 p.m.