Triple

T9874809
Position Surface form Disambiguated ID Type / Status
Subject Harrogate line E240046 entity
Predicate passesThrough P225 FINISHED
Object Weeton E826432 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: Weeton | Statement: [Harrogate line, passesThrough, Weeton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Weeton
Context triple: [Harrogate line, passesThrough, Weeton]
  • A. Weeton chosen
    Weeton is a small rural village in Lancashire, England, known for its agricultural surroundings and traditional English countryside character.
  • B. Leeton
    Leeton is a regional agricultural town in the Riverina area of New South Wales, Australia, known for its irrigated farming and food production.
  • C. Wainhill
    Wainhill is a small hamlet in Oxfordshire, England, situated near the village of Chinnor in the Chiltern Hills.
  • D. Toukley
    Toukley is a coastal town in New South Wales, Australia, situated between Tuggerah Lake and Budgewoi Lake on the Central Coast.
  • E. Beitbridge
    Beitbridge is a border town in southern Zimbabwe that serves as a major crossing point between Zimbabwe and South Africa.
  • 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_69ca84e8a0788190b9061811d50fd554 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb3f89fa081908b58956902c193cf completed April 2, 2026, 12:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1eae5a31c81908085f637fbbff6d2 completed April 5, 2026, 4:53 a.m.
Created at: March 30, 2026, 8:37 p.m.