Triple

T4557497
Position Surface form Disambiguated ID Type / Status
Subject Bloody Assizes E120514 entity
Predicate hasLocation 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: [Bloody Assizes, hasLocation, Taunton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Taunton
Context triple: [Bloody Assizes, hasLocation, 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_69bd4636f1648190a701445c2fcd9c17 completed March 20, 2026, 1:05 p.m.
NER Named-entity recognition batch_69bd58163e6081909d5a3aae12c42a00 completed March 20, 2026, 2:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69befe41822c8190b406c192170af3d1 completed March 21, 2026, 8:23 p.m.
Created at: March 20, 2026, 1:09 p.m.