Triple

T10712489
Position Surface form Disambiguated ID Type / Status
Subject Waterloo to Exeter Line E252573 entity
Predicate majorStation P1071 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: [Waterloo to Exeter Line, majorStation, Basingstoke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Basingstoke
Context triple: [Waterloo to Exeter Line, majorStation, 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. Basingstoke and Deane
    Basingstoke and Deane is a local government district and borough in Hampshire, England, centered on the town of Basingstoke and encompassing surrounding rural and suburban areas.
  • E. 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.
  • 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_69d6aa5cbabc8190973e683950d89faf completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fe533ec081909eafab85f6f6d6b9 completed April 9, 2026, 1:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69e37382a0bc81908938b3cbdf0528e0 completed April 18, 2026, 12:05 p.m.
Created at: April 8, 2026, 9:13 p.m.