Triple

T5197092
Position Surface form Disambiguated ID Type / Status
Subject Quincy Municipal Airport E117301 entity
Predicate county P75 FINISHED
Object Gadsden County E12338 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: Gadsden County | Statement: [Quincy Municipal Airport, county, Gadsden County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gadsden County
Context triple: [Quincy Municipal Airport, county, Gadsden County]
  • A. Lauderdale County
    Lauderdale County is a county in the northwestern part of Alabama, known for its seat in Florence and location along the Tennessee River.
  • B. Suwannee County
    Suwannee County is a rural county in northern Florida known for the Suwannee River, agriculture, and small-town communities.
  • C. Bay County
    Bay County is a coastal county in the Florida Panhandle known for its Gulf of Mexico beaches and the city of Panama City.
  • D. Gadsden County, Florida chosen
    Gadsden County, Florida is a rural county in the Florida Panhandle known for its agricultural heritage, historic towns, and proximity to the state capital, Tallahassee.
  • E. Escambia County
    Escambia County is a county in southern Alabama known for its mix of rural communities, timber and agricultural industries, and proximity to the Florida state line.
  • 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_69bd4462ed04819084fcb01eb9d2fa74 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7a1dbf7881909ed596ffdd1219bb completed March 20, 2026, 4:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69bff2ad363481908f3f287052233ae8 completed March 22, 2026, 1:46 p.m.
Created at: March 20, 2026, 1:46 p.m.