Triple

T21890866
Position Surface form Disambiguated ID Type / Status
Subject Wasilla, Alaska E540539 entity
Predicate transportInfrastructure P1777 FINISHED
Object Wasilla 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: Wasilla Airport | Statement: [Wasilla, Alaska, transportInfrastructure, Wasilla Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wasilla Airport
Context triple: [Wasilla, Alaska, transportInfrastructure, Wasilla Airport]
  • A. Wasilla Airport chosen
    Wasilla Airport is a public general aviation airport serving the city of Wasilla in Alaska, United States.
  • B. Taloqan Airport
    Taloqan Airport is a small regional airport serving the city of Taloqan and surrounding areas in northeastern Afghanistan.
  • C. E. T. Joshua Airport
    E. T. Joshua Airport was the former main airport serving Saint Vincent and the Grenadines before being replaced by Argyle International Airport.
  • D. Wa Airport
    Wa Airport is a regional public airport serving the city of Wa and its surrounding areas in the Upper West Region of Ghana.
  • E. 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.
  • 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_69e0c47a95908190ae3e19b716accb3d completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f11fc2124c8190a79cf115a1d30283 completed April 28, 2026, 8:59 p.m.
Created at: April 16, 2026, 7:06 p.m.