Triple

T16829235
Position Surface form Disambiguated ID Type / Status
Subject Oneida, Tennessee E409102 entity
Predicate hasNearbyCity P350 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: [Oneida, Tennessee, hasNearbyCity, Somerset, Kentucky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Somerset, Kentucky
Context triple: [Oneida, Tennessee, hasNearbyCity, 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. Cumberland, Kentucky
    Cumberland, Kentucky is a small Appalachian city in Harlan County known historically for coal mining and its proximity to Black Mountain, the highest point in the state.
  • C. Bighill, Kentucky
    Bighill, Kentucky is a small unincorporated community in Madison County that lies within the Richmond–Berea micropolitan region of central Kentucky.
  • D. Roundstone, Kentucky
    Roundstone, Kentucky is a small unincorporated community in the state of Kentucky, United States.
  • E. Calhoun, Kentucky
    Calhoun, Kentucky is a small city in McLean County that serves as the county seat and lies along the Green River in western Kentucky.
  • 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_69d88394566c8190b3dcbdc72935f7fa completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b315dbbc81908a1c83069e058770 completed April 18, 2026, 4:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00b2a0ac148190a7a7edebcb67c040 completed May 10, 2026, 4:30 p.m.
Created at: April 10, 2026, 5:23 a.m.