Triple

T4401613
Position Surface form Disambiguated ID Type / Status
Subject Hart District E93629 entity
Predicate borderedBy P224 FINISHED
Object Wokingham E59768 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: Wokingham | Statement: [Hart District, borderedBy, Wokingham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wokingham
Context triple: [Hart District, borderedBy, Wokingham]
  • A. Wokingham chosen
    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.
  • B. Basingstoke
    Basingstoke is a large town in Hampshire, England, known as a major commercial and retail centre with significant modern development and transport links.
  • C. Farnham
    Farnham is a historic market town in southern England known for its Georgian streets, medieval castle, and surrounding Surrey countryside.
  • D. Slough
    Slough is a large industrial and commercial town in southern England, known for its diverse population and proximity to London and Heathrow Airport.
  • 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_69b345158c748190a2c040fce2da9980 completed March 12, 2026, 10:58 p.m.
NER Named-entity recognition batch_69b352cf218481908d072fec58361f28 completed March 12, 2026, 11:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69bea45c53908190af21d54dbf9550f0 completed March 21, 2026, 1:59 p.m.
Created at: March 12, 2026, 11:28 p.m.