Triple

T16405566
Position Surface form Disambiguated ID Type / Status
Subject Malaysian airport network E398415 entity
Predicate hasComponent P35 FINISHED
Object Sibu Airport E1001325 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: Sibu Airport | Statement: [Malaysian airport network, hasComponent, Sibu Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sibu Airport
Context triple: [Malaysian airport network, hasComponent, Sibu Airport]
  • A. Sibu Airport chosen
    Sibu Airport is a regional airport serving the town of Sibu in Sarawak, Malaysia, handling domestic flights and acting as an important air transport hub for central Sarawak.
  • B. Kasane Airport
    Kasane Airport is a small international airport in northern Botswana that serves as a key gateway for tourists visiting Chobe National Park and the surrounding safari region.
  • C. Kimbe Airport
    Kimbe Airport is a regional airport serving the town of Kimbe and the surrounding West New Britain Province in Papua New Guinea.
  • D. Vunisea Airport
    Vunisea Airport is a small public airport serving the island of Kadavu in Fiji, providing domestic connections primarily to and from the capital, Suva.
  • E. Kanombe Airport
    Kanombe Airport is the former and locally used name for Kigali International Airport, the main international gateway to Rwanda’s capital city.
  • 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_69d87f2950248190bc8ad9b9bebdc8c8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e327d2b4e48190b7153f198639e9cd completed April 18, 2026, 6:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00581245108190842cfd68ec640236 completed May 10, 2026, 10:04 a.m.
Created at: April 10, 2026, 5:09 a.m.