Triple

T7304262
Position Surface form Disambiguated ID Type / Status
Subject Matanuska-Susitna Borough E167934 entity
Predicate containsAirport P2903 FINISHED
Object Wasilla Airport E567365 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: Wasilla Airport | Statement: [Matanuska-Susitna Borough, containsAirport, Wasilla Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wasilla Airport
Context triple: [Matanuska-Susitna Borough, containsAirport, Wasilla Airport]
  • A. Wasilla Airport chosen
    Wasilla Airport is a public general aviation airport serving the city of Wasilla in Alaska, United States.
  • B. Muanda Airport
    Muanda Airport is a public airport serving the coastal town of Muanda in the western Democratic Republic of the Congo, providing regional air connectivity for passengers and cargo.
  • C. Fascene Airport
    Fascene Airport is the main international airport serving the island of Nosy Be in northwestern Madagascar, handling both domestic and tourist flights.
  • D. Sky Harbor Airport
    Sky Harbor Airport is a major international airport serving the Phoenix metropolitan area in Arizona and one of the busiest air travel hubs in the United States.
  • E. Kohat Airport
    Kohat Airport is a domestic airport serving the city of Kohat in Khyber Pakhtunkhwa, Pakistan.
  • 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_69c6888c820881909fc68f689fe1c251 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6ebb352ec8190846eff044e08805e completed March 27, 2026, 8:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7e55bfccc8190a46067c60c3c1a3f completed March 28, 2026, 2:27 p.m.
Created at: March 27, 2026, 3:01 p.m.