Triple

T16298091
Position Surface form Disambiguated ID Type / Status
Subject Bellevue, Kentucky E395702 entity
Predicate adjacentTo P224 FINISHED
Object Dayton, Kentucky E585473 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: Dayton, Kentucky | Statement: [Bellevue, Kentucky, adjacentTo, Dayton, Kentucky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dayton, Kentucky
Context triple: [Bellevue, Kentucky, adjacentTo, Dayton, Kentucky]
  • A. Dayton, Kentucky chosen
    Dayton, Kentucky is a small Ohio River city in northern Kentucky, located across from Cincinnati and known as part of the greater Cincinnati metropolitan area.
  • B. Dayton, Ohio
    Dayton, Ohio is a mid-sized city in southwestern Ohio known as a historic center of aviation innovation and manufacturing.
  • C. Oakland, Kentucky
    Oakland, Kentucky is a small town in Warren County that functions as part of the broader Bowling Green regional community in south-central Kentucky.
  • D. Canton, Kentucky
    Canton, Kentucky is a small unincorporated community in Trigg County known for its rural setting near Lake Barkley in western Kentucky.
  • E. Kent, Ohio
    Kent, Ohio is a city in northeastern Ohio best known as the home of Kent State University.
  • 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_69d87f23bb088190a16fbb91a1957ea5 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e25e2f486c8190b73c15f59335cde2 completed April 17, 2026, 4:22 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0025ff9020819088f2146bdbfb2e2a completed May 10, 2026, 6:30 a.m.
Created at: April 10, 2026, 5:06 a.m.