Triple

T9201848
Position Surface form Disambiguated ID Type / Status
Subject DPA E220860 entity
Predicate associatedAirportName P16112 FINISHED
Object DuPage Airport E41581 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: DuPage Airport | Statement: [DPA, associatedAirportName, DuPage Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DuPage Airport
Context triple: [DPA, associatedAirportName, DuPage Airport]
  • A. DuPage Airport chosen
    DuPage Airport is a public general aviation airport serving the western suburbs of Chicago, known for its extensive corporate and private aviation facilities.
  • B. Schaumburg Regional Airport
    Schaumburg Regional Airport is a public general aviation airport serving the village of Schaumburg and the surrounding suburban Chicago area.
  • C. Dryden Regional Airport
    Dryden Regional Airport is a small public airport serving the city of Dryden and the surrounding region in northwestern Ontario, Canada.
  • D. Chicago Municipal Airport
    Chicago Municipal Airport was the original name of what is now Chicago Midway International Airport, one of Chicago’s major commercial airports.
  • E. Decatur Airport
    Decatur Airport is a public airport serving the city of Decatur and the surrounding region in central Illinois, providing commercial and general aviation services.
  • 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_69ca83e8e9248190862cf3e41693b310 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccd943cfb0819082231d80f0dc073b completed April 1, 2026, 8:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69d077808ee48190be6b58a4b38f3e3d completed April 4, 2026, 2:29 a.m.
Created at: March 30, 2026, 7:25 p.m.