Triple

T10397735
Position Surface form Disambiguated ID Type / Status
Subject Kentucky Route 80 E245063 entity
Predicate connectsCity P4245 FINISHED
Object Murray, Kentucky E410212 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: Murray, Kentucky | Statement: [Kentucky Route 80, connectsCity, Murray, Kentucky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Murray, Kentucky
Context triple: [Kentucky Route 80, connectsCity, Murray, Kentucky]
  • A. Murray, Kentucky chosen
    Murray, Kentucky is a small city in southwestern Kentucky best known as the home of Murray State University and for its strong college-town atmosphere.
  • B. Wilmore, Kentucky
    Wilmore, Kentucky is a small central Kentucky city known for its religious and educational institutions, including Asbury University and Asbury Theological Seminary.
  • C. Cerulean, Kentucky
    Cerulean, Kentucky is a small unincorporated community and historic resort area in western Kentucky known for its rural setting and mineral springs.
  • D. 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.
  • E. Morgantown, Kentucky
    Morgantown, Kentucky is a small city that serves as the county seat of Butler County and a local hub for the surrounding rural region.
  • 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_69d381b5116081908d85227bab6d3c0c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9d0de448190b0bfd4d6c87d47fa completed April 7, 2026, 11:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69d87e7adc3881909731d5289f370b8b completed April 10, 2026, 4:37 a.m.
Created at: April 6, 2026, 12:07 p.m.