Triple

T8390005
Position Surface form Disambiguated ID Type / Status
Subject Taunton Academy E197917 entity
Predicate locatedIn P40 FINISHED
Object Taunton E265728 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: Taunton | Statement: [Taunton Academy, locatedIn, Taunton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Taunton
Context triple: [Taunton Academy, locatedIn, Taunton]
  • A. Taunton chosen
    Taunton is a historic market town and the county town of Somerset in southwest England, known for its medieval heritage and role as a regional administrative and commercial center.
  • B. Taunton, Massachusetts
    Taunton, Massachusetts is a historic city in Bristol County known as the "Silver City" for its former prominence in the silver manufacturing industry.
  • C. Southampton, Massachusetts
    Southampton, Massachusetts is a small New England town in western Massachusetts known for its rural character and location within Hampshire County.
  • D. Newport
    Newport is a leading menthol cigarette brand in the United States, known for its strong market presence and association with menthol-flavored tobacco products.
  • E. Newport
    Newport is a market town in Shropshire, England, known for its historic high street and traditional rural 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_69ca82f749388190bffbea6dfb509016 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb810ac380819095bd67f0555ac2a8 completed March 31, 2026, 8:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2cae488708190823b1e9c07ad2e48 completed April 5, 2026, 8:49 p.m.
Created at: March 30, 2026, 6:03 p.m.