Triple

T22647646
Position Surface form Disambiguated ID Type / Status
Subject Valdosta E559006 entity
Predicate hasAirport P105 FINISHED
Object Valdosta Regional Airport 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: Valdosta Regional Airport | Statement: [Valdosta, hasAirport, Valdosta Regional Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Valdosta Regional Airport
Context triple: [Valdosta, hasAirport, Valdosta Regional Airport]
  • A. Valdosta Regional Airport chosen
    Valdosta Regional Airport is a public airport serving commercial and general aviation needs for the Valdosta, Georgia area.
  • B. Alva Regional Airport
    Alva Regional Airport is a public-use airport serving general aviation needs for the city of Alva and the surrounding region in northwestern Oklahoma.
  • C. Ralph Wien Memorial Airport
    Ralph Wien Memorial Airport is a public airport serving the remote Arctic community of Kotzebue, Alaska, providing vital passenger, cargo, and regional transportation links.
  • D. Machesney Airport
    Machesney Airport was a former airfield in Illinois that played a key role in the early aviation history of the Machesney Park area.
  • E. Vernal Regional Airport
    Vernal Regional Airport is a public airport serving the city of Vernal and the surrounding Uintah County region in northeastern Utah.
  • 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_69e24547f7fc819086e2c4ba3b979657 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f17039c2bc8190972a7c169b27005c completed April 29, 2026, 2:43 a.m.
Created at: April 17, 2026, 3:05 p.m.