Triple

T4749618
Position Surface form Disambiguated ID Type / Status
Subject Edward Vernon E105445 entity
Predicate placeOfDeath P21 FINISHED
Object Nacton E105441 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: Nacton | Statement: [Edward Vernon, placeOfDeath, Nacton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nacton
Context triple: [Edward Vernon, placeOfDeath, Nacton]
  • A. Nacton chosen
    Nacton is a village and civil parish in Suffolk, England, situated near the River Orwell and known for its rural character and historic estates.
  • B. Reydon
    Reydon is a village and civil parish in the English county of Suffolk, located near the coastal town of Southwold.
  • C. Eastry
    Eastry is a historic village and civil parish in Kent, England, known for its rural character and proximity to the coastal town of Deal.
  • D. Wicken
    Wicken is a small rural village in East Cambridgeshire, England, best known for its proximity to the National Trust’s Wicken Fen nature reserve, one of the country’s oldest wetlands.
  • E. Upavon
    Upavon is a village on Salisbury Plain in Wiltshire, England, notable for its long military association and nearby army and air force facilities.
  • 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_69bd43f07fa48190954317d01600994a completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd64c6f5ac81908a62f9c17e77ac86 completed March 20, 2026, 3:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69be43b24440819081f3932eb6b68b48 completed March 21, 2026, 7:07 a.m.
Created at: March 20, 2026, 1:20 p.m.