Triple

T23006394
Position Surface form Disambiguated ID Type / Status
Subject Cressida Bonas E572781 entity
Predicate placeOfBirth P1 FINISHED
Object Winchester NE NERFINISHED

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: Winchester | Statement: [Cressida Bonas, placeOfBirth, Winchester]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Winchester
Context triple: [Cressida Bonas, placeOfBirth, Winchester]
  • A. Winchester
    Winchester is a small rural community in eastern Ontario, Canada, known for its agricultural surroundings and close-knit local character.
  • B. Winchester
    Winchester is a historic American firearms and ammunition brand known for its iconic lever-action rifles and long association with hunting and sport shooting.
  • C. Winchester
    Winchester is a suburban town in Middlesex County, Massachusetts, known for its residential character and proximity to Boston.
  • D. Winchester chosen
    Winchester is a historic cathedral city in Hampshire, England, known for its medieval architecture and former status as the capital of the Kingdom of Wessex.
  • E. Winchester
    Winchester is the codename for a 90 nm revision of AMD's Athlon 64 processor core known for improved power efficiency and lower heat output.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245b6a3ac81908087599eefe3e365 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1835706dc8190b3f9743c0f336bb2 completed April 29, 2026, 4:04 a.m.
Created at: April 17, 2026, 3:51 p.m.