Triple

T17214469
Position Surface form Disambiguated ID Type / Status
Subject Thornbury and Yate E417816 entity
Predicate containsTown P847 FINISHED
Object Yate E350226 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: Yate | Statement: [Thornbury and Yate, containsTown, Yate]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yate
Context triple: [Thornbury and Yate, containsTown, Yate]
  • A. Yate chosen
    Yate is a town in South Gloucestershire, England, known as a residential and commercial centre north of Bristol.
  • B. Calne
    Calne is a historic market town in Wiltshire, England, known for its former bacon-curing industry and location in the North Wessex Downs area.
  • C. Stroud
    Stroud is a small community within the town of Innisfil in Ontario, Canada, known for its residential character and proximity to Lake Simcoe.
  • D. Stroud
    Stroud is a market town and parliamentary constituency in Gloucestershire, England, known historically for its role in the Industrial Revolution and its association with progressive politics.
  • E. Stroud
    Stroud is a small rural town in the Hunter Region of New South Wales, Australia, known for its historic buildings and colonial 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_69d886d779488190b131369541c04e7d completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42dc8d3e88190a89bee6b75392360 completed April 19, 2026, 1:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0170eb9954819085e8c078cf137dc5 completed May 11, 2026, 6:02 a.m.
Created at: April 10, 2026, 5:38 a.m.