Triple

T10573273
Position Surface form Disambiguated ID Type / Status
Subject US 23 E249546 entity
Predicate passesThrough P225 FINISHED
Object Ashland, Kentucky E351062 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: Ashland, Kentucky | Statement: [US 23, passesThrough, Ashland, Kentucky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ashland, Kentucky
Context triple: [US 23, passesThrough, Ashland, Kentucky]
  • A. Ashland, Kentucky chosen
    Ashland, Kentucky is a small industrial and riverfront city in northeastern Kentucky, known as part of the Huntington–Ashland metropolitan area along the Ohio River.
  • B. Ashland, Ohio
    Ashland, Ohio is a small city in north-central Ohio known historically as a regional manufacturing and agricultural center and home to Ashland University.
  • C. Ashland
    Ashland is an unincorporated community in Alameda County, California, situated in the East Bay region of the San Francisco Bay Area.
  • D. Ashland
    Ashland is a Chicago 'L' rapid transit station on the CTA's Pink Line serving the city's Near West Side.
  • E. Ashland
    Ashland is a small borough in Schuylkill County, Pennsylvania, historically known for its anthracite coal mining heritage.
  • 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_69d381c8bd708190acf3d275c908251e completed April 6, 2026, 9:50 a.m.
NER Named-entity recognition batch_69d5274929cc81909a79d5e2049f7389 completed April 7, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69d97a1bba1c8190af5a078f40f3bc0a completed April 10, 2026, 10:30 p.m.
Created at: April 6, 2026, 12:37 p.m.