Triple

T6659618
Position Surface form Disambiguated ID Type / Status
Subject Chicksands E151440 entity
Predicate hasName P744 FINISHED
Object Chicksands E151440 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: Chicksands | Statement: [Chicksands, hasName, Chicksands]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chicksands
Context triple: [Chicksands, hasName, Chicksands]
  • A. Chicksands chosen
    Chicksands is a British military base in Bedfordshire, England, historically known for its intelligence and signals operations and now home to the headquarters of the British Army’s Intelligence Corps.
  • B. Chaldicotes
    Chaldicotes is a fictional country estate in Anthony Trollope’s Barsetshire novels, notably associated with the character Mr. Sowerby.
  • C. Chicksands estate
    Chicksands estate is a historic country estate in Bedfordshire, England, known for encompassing the medieval monastic site of Chicksands Priory and its surrounding parkland.
  • D. Knaphill
    Knaphill is a suburban village in Surrey, England, forming part of the borough of Woking.
  • E. Harpenden
    Harpenden is a commuter town in southern England known for its green spaces and affluent residential character.
  • 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_69c687f5fac48190a09e4838d9c6b45d completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6b071cc6c81909d7df1841c645661 completed March 27, 2026, 4:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6ef0738a88190802abaeb0ab0a927 completed March 27, 2026, 8:56 p.m.
Created at: March 27, 2026, 2:02 p.m.