Triple

T23160085
Position Surface form Disambiguated ID Type / Status
Subject Garvin County E578557 entity
Predicate bordersOn P224 FINISHED
Object Murray County 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: Murray County | Statement: [Garvin County, bordersOn, Murray County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Murray County
Context triple: [Garvin County, bordersOn, Murray County]
  • A. Murray County chosen
    Murray County is a county in northwestern Georgia, United States, known for its location in the Appalachian foothills and its historical ties to early Cherokee Nation lands.
  • B. Marshall County
    Marshall County is a county in northern Alabama known for its scenic location around Lake Guntersville and its mix of small towns and rural communities.
  • C. Marshall County
    Marshall County is a centrally located county in the U.S. state of Iowa, known for its agricultural landscape and the city of Marshalltown as its county seat.
  • D. Marshall County
    Marshall County is a rural county in northwestern Minnesota known for its agricultural landscape and small communities.
  • E. Marshall County
    Marshall County is a county in central Tennessee known for its rural communities, agricultural economy, and county seat of Lewisburg.
  • 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_69e245fc75348190a0288401044c8af8 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18eff965081909aaa6fc1910293e2 completed April 29, 2026, 4:54 a.m.
Created at: April 17, 2026, 4:02 p.m.