Triple

T15604913
Position Surface form Disambiguated ID Type / Status
Subject Perry-Foley Airport E375133 entity
Predicate operator P179 FINISHED
Object Taylor County E425429 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: Taylor County | Statement: [Perry-Foley Airport, operator, Taylor County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Taylor County
Context triple: [Perry-Foley Airport, operator, Taylor County]
  • A. Taylor County
    Taylor County is a rural county in west-central Georgia known for its small communities, agricultural landscape, and location along key state highways.
  • B. Taylor County
    Taylor County is a rural county in southwestern Iowa known for its agricultural landscape and small communities.
  • C. Taylor County chosen
    Taylor County is a rural county in Florida known for its Gulf Coast shoreline, forests, and small-town communities centered around the city of Perry.
  • D. Evans County
    Evans County is a rural county in southeastern Georgia known for its agricultural landscape and small-town communities.
  • E. Jones County
    Jones County is a county in central Georgia, United States, known for its rural character and proximity to the city of Macon.
  • 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_69d85cce25008190b13b52745fbd719b completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e7d9328819090e93d55881269a5 completed April 16, 2026, 2:50 a.m.
NED1 Entity disambiguation (via context triple) batch_6a003c4303888190a93830ef534715ae completed May 10, 2026, 8:05 a.m.
Created at: April 10, 2026, 4:12 a.m.