Triple

T20283099
Position Surface form Disambiguated ID Type / Status
Subject Tagbilaran Airport E503199 entity
Predicate servedAsDestinationFor P50377 FINISHED
Object Philippines AirAsia 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: Philippines AirAsia | Statement: [Tagbilaran Airport, servedAsDestinationFor, Philippines AirAsia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Philippines AirAsia
Context triple: [Tagbilaran Airport, servedAsDestinationFor, Philippines AirAsia]
  • A. Philippines AirAsia chosen
    Philippines AirAsia is a low-cost airline based in the Philippines and a subsidiary of the AirAsia Group, operating domestic and international flights across Asia.
  • B. Thai AirAsia
    Thai AirAsia is a Thai low-cost airline operating domestic and international flights, and is part of the wider AirAsia group based in Southeast Asia.
  • C. AirAsia
    AirAsia is a Malaysian low-cost airline known for its extensive network of domestic and international routes across Asia and beyond.
  • D. Cebu Pacific
    Cebu Pacific is a major low-cost airline based in the Philippines, known for operating extensive domestic and regional routes across Asia.
  • E. AirAsia Indonesia
    AirAsia Indonesia is a low-cost airline based in Indonesia and a subsidiary of the Malaysia-based AirAsia Group, operating domestic and international flights across Asia.
  • 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_69e0b4b0e79c8190bd61f22ef1329fa8 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6769049b48190bc449557b79b9e81 completed April 20, 2026, 6:55 p.m.
Created at: April 16, 2026, 10:40 a.m.