Triple

T12023462
Position Surface form Disambiguated ID Type / Status
Subject Congresbury E286213 entity
Predicate near P350 FINISHED
Object Yatton E500599 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: Yatton | Statement: [Congresbury, near, Yatton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yatton
Context triple: [Congresbury, near, Yatton]
  • A. Yatton chosen
    Yatton is a large village and civil parish in North Somerset, England, known for its rural character, historic church, and role as a commuter hub with good rail links to nearby cities.
  • B. Yate
    Yate is a town in South Gloucestershire, England, known as a residential and commercial centre north of Bristol.
  • C. Melksham
    Melksham is a market town in western Wiltshire, England, situated on the River Avon and known historically for its woollen industry and later manufacturing.
  • D. Wincanton
    Wincanton is a small market town in south-east Somerset, England, known historically for its coaching inns and more recently for its racecourse.
  • E. Frampton-on-Severn
    Frampton-on-Severn is a picturesque village in Gloucestershire, England, known for its large village green and historic Cotswold stone buildings.
  • 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_69d6ab4669e48190b59246358b0383ab completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903ee4f9081909e5a58ecbd830b14 completed April 10, 2026, 2:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69f48b71e5c48190a58ace8ef7c8928d completed May 1, 2026, 11:16 a.m.
Created at: April 8, 2026, 9:47 p.m.