Triple

T8374907
Position Surface form Disambiguated ID Type / Status
Subject Nelson County E197551 entity
Predicate contains P35 FINISHED
Object Boston, Kentucky E344367 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: Boston, Kentucky | Statement: [Nelson County, contains, Boston, Kentucky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Boston, Kentucky
Context triple: [Nelson County, contains, Boston, Kentucky]
  • A. Boston, Kentucky chosen
    Boston, Kentucky is a small unincorporated rural community located in Nelson County in the central part of the state.
  • B. 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.
  • C. Lexington, Kentucky
    Lexington, Kentucky is a major city in the Bluegrass region renowned as the "Horse Capital of the World" for its thoroughbred breeding and racing industry.
  • D. Paris, Kentucky
    Paris, Kentucky is a small historic city in Bourbon County known for its role in the heart of Kentucky’s Bluegrass horse country and its preserved 19th-century architecture.
  • E. Covington, Kentucky
    Covington, Kentucky is a historic city in northern Kentucky, part of the Cincinnati metropolitan area, known for its riverfront along the Ohio River and its preserved 19th-century architecture.
  • 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_69ca82f56730819080cec5d991c76f4c completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb80a996ec819083ce2607c0cdab7f completed March 31, 2026, 8:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69cde7e7e7ac819084e82a98c4c1249e completed April 2, 2026, 3:52 a.m.
Created at: March 30, 2026, 6:01 p.m.