Triple

T1031156
Position Surface form Disambiguated ID Type / Status
Subject Woking E22253 entity
Predicate railLinkTo P13914 FINISHED
Object Basingstoke E105229 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: Basingstoke | Statement: [Woking, railLinkTo, Basingstoke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Basingstoke
Context triple: [Woking, railLinkTo, Basingstoke]
  • A. Basingstoke chosen
    Basingstoke is a large town in Hampshire, England, known as a major commercial and retail centre with significant modern development and transport links.
  • B. Wokingham
    Wokingham is a historic market town in Berkshire, England, known for its traditional town center and role as a commuter hub for nearby Reading and London.
  • C. Farnham
    Farnham is a historic market town in southern England known for its Georgian streets, medieval castle, and surrounding Surrey countryside.
  • D. Bracknell
    Bracknell is a town in the English county of Berkshire, known as a post-war New Town and commercial centre in the Thames Valley.
  • E. Slough
    Slough is a large industrial and commercial town in southern England, known for its diverse population and proximity to London and Heathrow Airport.
  • 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_69a493d848848190aed4011b34b2e8d3 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4bb71e7f88190bf33bbe5ef2c68ff completed March 1, 2026, 10:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad467e48e0819099f159a2f0aa03b0 completed March 8, 2026, 9:50 a.m.
Created at: March 1, 2026, 7:41 p.m.