Triple

T20354252
Position Surface form Disambiguated ID Type / Status
Subject Kapan E496099 entity
Predicate hasAirport P105 FINISHED
Object Kapan Airport NE NERFINISHED

How this triple was built (3 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: Kapan Airport | Statement: [Kapan, hasAirport, Kapan Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kapan Airport
Context triple: [Kapan, hasAirport, Kapan Airport]
  • A. Iki Airport
    Iki Airport is a regional airport in Nagasaki Prefecture, Japan, providing air transport services to and from Iki Island.
  • B. Heho Airport
    Heho Airport is a regional airport in Myanmar that serves as the main air gateway to Taunggyi and the nearby Inle Lake area.
  • C. 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.
  • D. Kapit Airport
    Kapit Airport is a small regional airport in Sarawak, Malaysia, serving the town of Kapit and surrounding interior communities.
  • E. Ramingining Airport
    Ramingining Airport is a small regional airfield serving the remote Aboriginal community of Ramingining in the Northern Territory of Australia.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kapan Airport
Target entity description: Kapan Airport is a small regional airport serving the town of Kapan in southern Armenia, primarily handling domestic flights.
  • A. Iki Airport
    Iki Airport is a regional airport in Nagasaki Prefecture, Japan, providing air transport services to and from Iki Island.
  • B. Heho Airport
    Heho Airport is a regional airport in Myanmar that serves as the main air gateway to Taunggyi and the nearby Inle Lake area.
  • C. 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.
  • D. Kapit Airport
    Kapit Airport is a small regional airport in Sarawak, Malaysia, serving the town of Kapit and surrounding interior communities.
  • E. Ramingining Airport
    Ramingining Airport is a small regional airfield serving the remote Aboriginal community of Ramingining in the Northern Territory of Australia.
  • F. None of above. chosen

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_69e0b4a3f7f48190b37f354574028ca6 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67852ca9881908a5af18005639859 completed April 20, 2026, 7:02 p.m.
Created at: April 16, 2026, 11:25 a.m.