Triple

T6267569
Position Surface form Disambiguated ID Type / Status
Subject Barnaby Rudge E140451 entity
Predicate settingLocation P40 FINISHED
Object Chigwell E216194 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: Chigwell | Statement: [Barnaby Rudge, settingLocation, Chigwell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chigwell
Context triple: [Barnaby Rudge, settingLocation, Chigwell]
  • A. Chigwell chosen
    Chigwell is a suburban town in the Epping Forest district of Essex, England, known for its affluent residential character and proximity to London.
  • B. Cheshunt
    Cheshunt is a town in Hertfordshire, England, situated just north of London and known as a commuter hub with rail links into the capital.
  • C. Welwyn
    Welwyn is a historic village and civil parish in Hertfordshire, England, known for its Roman heritage and picturesque rural character.
  • D. Elmswell
    Elmswell is a village and civil parish in the county of Suffolk in eastern England.
  • E. Bennetts End
    Bennetts End is a residential area and suburb located within the county of Hertfordshire in England.
  • 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_69c008cabc4081909723e2547c9d6cc0 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c063a0f2548190a2f5c307bc5a67cf completed March 22, 2026, 9:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69c2445ba40c8190a51817ba80015238 completed March 24, 2026, 7:59 a.m.
Created at: March 22, 2026, 4:25 p.m.