Triple

T22056724
Position Surface form Disambiguated ID Type / Status
Subject Hurley, Tennessee E545037 entity
Predicate hasFullName P16 FINISHED
Object Hurley, Tennessee 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: Hurley, Tennessee | Statement: [Hurley, Tennessee, hasFullName, Hurley, Tennessee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hurley, Tennessee
Context triple: [Hurley, Tennessee, hasFullName, Hurley, Tennessee]
  • A. Hurley, Tennessee chosen
    Hurley, Tennessee is an unincorporated rural community located within Hardin County in the southwestern part of the state.
  • B. Nunnelly, Tennessee
    Nunnelly, Tennessee is an unincorporated rural community located in Hickman County in the U.S. state of Tennessee.
  • C. Bransford, Tennessee
    Bransford, Tennessee is a small unincorporated rural community located in Sumner County in the northern part of the state.
  • D. Calhoun, Tennessee
    Calhoun, Tennessee is a small town in southeastern Tennessee known for its rural character and location along the Hiwassee River.
  • E. Ripley, Tennessee
    Ripley, Tennessee is a small city in western Tennessee known as the administrative and commercial center of Lauderdale County.
  • 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_69e11e3377c48190890c17407b9527d6 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f128588e0081909056ac8251afe935 completed April 28, 2026, 9:36 p.m.
Created at: April 16, 2026, 8:27 p.m.