Triple

T21486356
Position Surface form Disambiguated ID Type / Status
Subject King’s College, Taunton E530125 entity
Predicate locatedIn P40 FINISHED
Object Taunton 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: Taunton | Statement: [King’s College, Taunton, locatedIn, Taunton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Taunton
Context triple: [King’s College, Taunton, 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 market town in Shropshire, England, known for its historic high street and traditional rural character.
  • E. Newport
    Newport is a historic coastal city in Rhode Island renowned for its Gilded Age mansions, sailing culture, and colonial-era architecture.
  • 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_69e0c45acc3881908e38d3f28964152b completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9ea370adc8190b79fe26e2eba1dca completed April 23, 2026, 9:45 a.m.
Created at: April 16, 2026, 6:22 p.m.