Triple

T17196254
Position Surface form Disambiguated ID Type / Status
Subject Fermi 2 E417358 entity
Predicate county P75 FINISHED
Object Monroe 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: Monroe County | Statement: [Fermi 2, county, Monroe County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Monroe County
Context triple: [Fermi 2, county, Monroe County]
  • A. Monroe County chosen
    Monroe County is a large, sparsely populated county in southern Florida that includes the Florida Keys and portions of the mainland, known for its coastal ecosystems, tourism, and protected natural areas.
  • B. Monroe County
    Monroe County is a county in central Georgia known for its mix of rural communities, historic towns like Forsyth, and its location along major transportation routes between Atlanta and Macon.
  • C. Monroe County
    Monroe County is a rural county in southern West Virginia known for its scenic Appalachian landscapes, agriculture, and historic small towns.
  • D. Monroe County
    Monroe County is a rural county in southwestern Alabama known historically as the home of Monroeville, the hometown of author Harper Lee and a setting that inspired "To Kill a Mockingbird."
  • E. Monroe County
    Monroe County is a county in northeastern Pennsylvania known for including part of the Pocono Mountains region.
  • 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_69d886d6ba8c819093215917b3d01689 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42daab57c819093496cbdc7890f34 completed April 19, 2026, 1:19 a.m.
Created at: April 10, 2026, 5:38 a.m.