Triple

T5404410
Position Surface form Disambiguated ID Type / Status
Subject CLT E120855 entity
Predicate openedAs P6141 FINISHED
Object Charlotte Municipal Airport E180126 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: Charlotte Municipal Airport | Statement: [CLT, openedAs, Charlotte Municipal Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charlotte Municipal Airport
Context triple: [CLT, openedAs, Charlotte Municipal Airport]
  • A. Charlotte Municipal Airport chosen
    Charlotte Municipal Airport was the original name of what is now Charlotte Douglas International Airport, a major commercial airport serving Charlotte, North Carolina.
  • B. Philip Billard Municipal Airport
    Philip Billard Municipal Airport is a public general aviation airport serving the city of Topeka in northeastern Kansas.
  • C. Lee Gilmer Memorial Airport
    Lee Gilmer Memorial Airport is a public general aviation airport serving the city of Gainesville in Hall County, Georgia.
  • D. Washington Municipal Airport
    Washington Municipal Airport is a public general aviation airport serving the city of Washington and surrounding communities in Washington County, Iowa.
  • E. Hope Municipal Airport
    Hope Municipal Airport is a public-use airport serving the city of Hope in southwestern Arkansas, primarily accommodating general aviation.
  • 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_69bd46391c0c81909fa484446732b6a3 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd8774cd8881909b3437ba02018444 completed March 20, 2026, 5:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf6c4cdec48190908b52a37b82c2d1 completed March 22, 2026, 4:13 a.m.
Created at: March 20, 2026, 2:05 p.m.