Triple

T3296153
Position Surface form Disambiguated ID Type / Status
Subject Reginald Dyer E69219 entity
Predicate placeOfDeath P21 FINISHED
Object Long Ashton E69583 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: Long Ashton | Statement: [Reginald Dyer, placeOfDeath, Long Ashton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Long Ashton
Context triple: [Reginald Dyer, placeOfDeath, Long Ashton]
  • A. Long Ashton chosen
    Long Ashton is a village and civil parish in North Somerset, England, located just southwest of Bristol.
  • B. Kings Norton
    Kings Norton is a suburban area in the south of Birmingham, England, known for its historic village green, conservation area, and mix of residential and green spaces.
  • C. Torresdale
    Torresdale is a residential neighborhood in the far northeastern section of Philadelphia, Pennsylvania, known for its proximity to the Delaware River and suburban character.
  • D. Ashby
    Ashby is a surname most notably associated with Hal Ashby, the influential American film director known for 1970s classics such as "Harold and Maude" and "Being There."
  • E. Ashby
    Ashby is a small town in north-central Massachusetts, United States, known for its rural character and proximity to the city of Fitchburg.
  • 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_69ad859e529c8190a404273f53cb487d completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb077c60c81909782be5202ce5a43 completed March 8, 2026, 5:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2e86e867c8190a1e5042a4d4d92cb completed March 12, 2026, 4:23 p.m.
Created at: March 8, 2026, 3:10 p.m.