Triple

T12504445
Position Surface form Disambiguated ID Type / Status
Subject Rome, Georgia E298912 entity
Predicate county P75 FINISHED
Object Floyd County E348230 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: Floyd County | Statement: [Rome, Georgia, county, Floyd County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Floyd County
Context triple: [Rome, Georgia, county, Floyd County]
  • A. Floyd County chosen
    Floyd County is a county in northwestern Georgia known historically for its location within the state's gold-bearing geological region and its seat in the city of Rome.
  • B. Floyd County
    Floyd County is a rural county in the U.S. state of Texas, located in the agricultural region of the Texas Panhandle.
  • C. Floyd County
    Floyd County is a rural county in north-central Iowa known for its agricultural landscape and small communities, including the county seat of Charles City.
  • D. Kelan County
    Kelan County is a county in Xinzhou, Shanxi Province, China, known for its proximity to the Taiyuan Satellite Launch Center, one of the country’s major space launch facilities.
  • E. Hart County
    Hart County is a rural county in central Kentucky known for its agricultural landscape, small communities, and proximity to Mammoth Cave National Park.
  • 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_69d6ada4cd388190ae3bbf83ff87057a completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94dfcea188190a929db1aabe1a286 completed April 10, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6c0d6947c819080d33199d331724c completed May 3, 2026, 3:28 a.m.
Created at: April 8, 2026, 9:57 p.m.