Triple

T16911864
Position Surface form Disambiguated ID Type / Status
Subject Lake Decatur E410215 entity
Predicate hasNearbyAirport P4363 FINISHED
Object Decatur Airport E370029 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: Decatur Airport | Statement: [Lake Decatur, hasNearbyAirport, Decatur Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Decatur Airport
Context triple: [Lake Decatur, hasNearbyAirport, Decatur Airport]
  • A. Decatur Airport chosen
    Decatur Airport is a public airport serving the city of Decatur and the surrounding region in central Illinois, providing commercial and general aviation services.
  • B. Dryden Regional Airport
    Dryden Regional Airport is a small public airport serving the city of Dryden and the surrounding region in northwestern Ontario, Canada.
  • C. DuPage Airport
    DuPage Airport is a public general aviation airport serving the western suburbs of Chicago, known for its extensive corporate and private aviation facilities.
  • D. Lincoln Park Airport
    Lincoln Park Airport is a small public general aviation airport serving the borough of Lincoln Park in Morris County, New Jersey.
  • E. Madison Municipal Airport
    Madison Municipal Airport is a public airport serving general aviation and regional air traffic for the city of Madison in eastern South Dakota.
  • 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_69d886c7b1e481908c3766dfa8c13458 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3ca3d6be88190bca5e1fdf727141b completed April 18, 2026, 6:15 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00cfd0ff2881908686678daab46664 completed May 10, 2026, 6:34 p.m.
Created at: April 10, 2026, 5:30 a.m.