Triple

T18327790
Position Surface form Disambiguated ID Type / Status
Subject Hampshire Cultural Trust E439057 entity
Predicate hasHeadquartersLocation P62 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: [Hampshire Cultural Trust, hasHeadquartersLocation, Winchester]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Winchester
Context triple: [Hampshire Cultural Trust, hasHeadquartersLocation, 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_69d8b916a2d081909e249e4902f6aad9 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e50aac14488190840b9c22209f13d1 completed April 19, 2026, 5:02 p.m.
Created at: April 10, 2026, 10:36 a.m.