Triple

T3546072
Position Surface form Disambiguated ID Type / Status
Subject Murray State University E74999 entity
Predicate locatedIn P40 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: [Murray State University, locatedIn, Murray, Kentucky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Murray, Kentucky
Context triple: [Murray State University, locatedIn, 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. 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.
  • D. McAfee, Kentucky
    McAfee, Kentucky is a small unincorporated rural community located in Mercer County in the central part of the state.
  • E. Kevil, Kentucky
    Kevil, Kentucky is a small rural city in western Kentucky known for its proximity to the Paducah Gaseous Diffusion Plant and its agricultural surroundings.
  • 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_69ad85d33c6c819081d5ac1df13b5680 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbf77d938819095c72a88b5af644a completed March 8, 2026, 6:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdc51a7c6081909eeda563a4485e87 completed March 20, 2026, 10:07 p.m.
Created at: March 8, 2026, 3:20 p.m.