Triple

T8015323
Position Surface form Disambiguated ID Type / Status
Subject County of Hampshire, England E186598 entity
Predicate contains P35 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: [County of Hampshire, England, contains, Basingstoke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Basingstoke
Context triple: [County of Hampshire, England, contains, 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_69ca82ac7fc081909b1398cf025423af completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3df24e4c8190ae1c46e97e54787d completed March 31, 2026, 3:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69cf9fc6bff48190b2f73e4c8c8b627a completed April 3, 2026, 11:08 a.m.
Created at: March 30, 2026, 5:20 p.m.