Triple

T5296546
Position Surface form Disambiguated ID Type / Status
Subject Lawrence County Board of Commissioners E119871 entity
Predicate governs P760 FINISHED
Object Lawrence County unclear NED1 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: Lawrence County | Statement: [Lawrence County Board of Commissioners, governs, Lawrence County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lawrence County
Context triple: [Lawrence County Board of Commissioners, governs, Lawrence County]
  • A. Lawrence County
    Lawrence County is a rural county in central Mississippi known for its small communities, forests, and agricultural landscape.
  • B. Lawrence County
    Lawrence County is a county in western Pennsylvania that forms part of the greater Pittsburgh metropolitan region.
  • C. Lawrence County
    Lawrence County is a rural county in northern Alabama known for its agricultural communities, outdoor recreation areas, and proximity to the Tennessee River.
  • D. 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.
  • E. Livingston County
    Livingston County is a largely suburban and rural county in southeastern Michigan known for its growing communities, parks, and proximity to the Detroit and Ann Arbor metropolitan areas.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69bd446f22b88190b6a47fb91c68a3e7 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd8503cf908190b1f93fb10a33c49c completed March 20, 2026, 5:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf9535f8008190b91cf823e9484b4e completed March 22, 2026, 7:07 a.m.
Created at: March 20, 2026, 1:53 p.m.