Triple

T7006243
Position Surface form Disambiguated ID Type / Status
Subject John Sherman Cooper E162462 entity
Predicate burialPlace P196 FINISHED
Object Somerset, Kentucky E635367 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: Somerset, Kentucky | Statement: [John Sherman Cooper, burialPlace, Somerset, Kentucky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Somerset, Kentucky
Context triple: [John Sherman Cooper, burialPlace, Somerset, Kentucky]
  • A. Somerset, Kentucky chosen
    Somerset, Kentucky is a small city in south-central Kentucky known as the county seat of Pulaski County and a regional hub near Lake Cumberland.
  • B. Muldraugh, Kentucky
    Muldraugh, Kentucky is a small city in north-central Kentucky known for its proximity to Fort Knox and its location along U.S. Route 31W.
  • C. Riverwood, Kentucky
    Riverwood, Kentucky is a small, affluent residential city in Jefferson County that forms part of the suburban Louisville area.
  • D. Bloomfield, Kentucky
    Bloomfield, Kentucky is a small historic city located in central Kentucky that serves as one of the communities within Nelson County.
  • E. Kevil, Kentucky
    Kevil, Kentucky is a small rural city in western Kentucky known for its proximity to the Paducah Gaseous Diffusion Plant and its agricultural surroundings.
  • 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_69c6885928148190ae31909fbb5e9849 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6dc34b5a88190a793e07dd4d0018b completed March 27, 2026, 7:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7755c7c1481908eed49c72726195e completed March 28, 2026, 6:29 a.m.
Created at: March 27, 2026, 2:33 p.m.