Triple

T16405586
Position Surface form Disambiguated ID Type / Status
Subject Malaysian airport network E398415 entity
Predicate hasComponent P35 FINISHED
Object Belaga Airport E1237998 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: Belaga Airport | Statement: [Malaysian airport network, hasComponent, Belaga Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Belaga Airport
Context triple: [Malaysian airport network, hasComponent, Belaga Airport]
  • A. Mutiara Airport
    Mutiara Airport is a public airport in Palu, Central Sulawesi, Indonesia, serving as the main air gateway to the region.
  • B. Limbang Airport chosen
    Limbang Airport is a regional public airport serving the town of Limbang in northern Sarawak, Malaysia, providing domestic connections within the country’s Bornean region.
  • C. Begumpet Airport
    Begumpet Airport is the former primary airport of Hyderabad, India, now used mainly for military, training, and charter operations after being superseded by Rajiv Gandhi International Airport.
  • D. Tawau Airport
    Tawau Airport is a public airport in Sabah, Malaysia, serving the town of Tawau and acting as a key gateway to the southeastern region of Borneo.
  • E. Gaggal Airport
    Gaggal Airport is a domestic airport serving the Kangra district and the Dharamshala region in the Indian state of Himachal Pradesh.
  • 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_6a00dbf46cf881909f6c16f7a3d9a535 completed May 10, 2026, 7:26 p.m.
Created at: April 10, 2026, 5:09 a.m.