Triple

T5258216
Position Surface form Disambiguated ID Type / Status
Subject Guildford Castle E118754 entity
Predicate locatedIn P40 FINISHED
Object Guildford E21568 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: Guildford | Statement: [Guildford Castle, locatedIn, Guildford]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Guildford
Context triple: [Guildford Castle, locatedIn, Guildford]
  • A. Guildford chosen
    Guildford is a historic market town in southeast England known for its medieval architecture, university, and role as a commercial and cultural hub in the region.
  • B. Farnham
    Farnham is a historic market town in southern England known for its Georgian streets, medieval castle, and surrounding Surrey countryside.
  • C. Basingstoke
    Basingstoke is a large town in Hampshire, England, known as a major commercial and retail centre with significant modern development and transport links.
  • D. 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.
  • E. Camberley
    Camberley is a suburban town in southeast England known for its shopping centre, commuter links to London, and proximity to the Royal Military Academy Sandhurst.
  • 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_69bd446978108190bb5f9c5c23d93f88 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7ba791c08190a18176feae8d1475 completed March 20, 2026, 4:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf331e0e2881908b52da110384302a completed March 22, 2026, 12:09 a.m.
Created at: March 20, 2026, 1:50 p.m.