Triple

T22522398
Position Surface form Disambiguated ID Type / Status
Subject Trace Cyrus E556813 entity
Predicate placeOfBirth P1 FINISHED
Object Ashland, Kentucky, United States NE NERFINISHED

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, United States | Statement: [Trace Cyrus, placeOfBirth, Ashland, Kentucky, United States]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ashland, Kentucky, United States
Context triple: [Trace Cyrus, placeOfBirth, Ashland, Kentucky, United States]
  • 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, Pennsylvania, United States of America
    Ashland, Pennsylvania, United States of America, is a small borough in Schuylkill County known historically for its anthracite coal mining heritage.
  • D. Ashland
    Ashland is an unincorporated community in Alameda County, California, situated in the East Bay region of the San Francisco Bay Area.
  • E. Ashland
    Ashland is a Chicago 'L' rapid transit station on the CTA's Pink Line serving the city's Near West Side.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e5657e881909f16ca58352c50da completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15e338dfc819082e1eeede3805fb9 completed April 29, 2026, 1:26 a.m.
Created at: April 16, 2026, 8:50 p.m.