Triple

T1655342
Position Surface form Disambiguated ID Type / Status
Subject Columbus, Georgia E35785 entity
Predicate county P75 FINISHED
Object Muscogee County E100706 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: Muscogee County | Statement: [Columbus, Georgia, county, Muscogee County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Muscogee County
Context triple: [Columbus, Georgia, county, Muscogee County]
  • A. Choctaw County
    Choctaw County is a rural county in southwestern Alabama known for its pine forests, timber industry, and small, close-knit communities.
  • B. Tallapoosa County
    Tallapoosa County is a county in east-central Alabama known for Lake Martin, outdoor recreation, and its county seat, Dadeville.
  • C. Toombs County
    Toombs County is a rural county in southeastern Georgia known for its agriculture, particularly Vidalia onions, and its county seat, Lyons.
  • D. Muscogee County, Georgia chosen
    Muscogee County, Georgia is a west-central Georgia county best known as the location of the city of Columbus, a major regional economic and cultural center on the Chattahoochee River.
  • E. Chilton County
    Chilton County is a central Alabama county best known for its extensive peach orchards and agricultural production.
  • 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_69a8860568888190a32cd9f70acbba42 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a90a8b597c81908a62b41718d85df6 completed March 5, 2026, 4:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae26e9748081909532426be2f198d1 completed March 9, 2026, 1:48 a.m.
Created at: March 4, 2026, 7:29 p.m.