Triple

T4230760
Position Surface form Disambiguated ID Type / Status
Subject Mactan–Cebu International Airport E94573 entity
Predicate secondaryHubFor P8522 FINISHED
Object Philippine Airlines E43266 NE FINISHED

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: Philippine Airlines | Statement: [Mactan–Cebu International Airport, secondaryHubFor, Philippine Airlines]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Philippine Airlines
Context triple: [Mactan–Cebu International Airport, secondaryHubFor, Philippine Airlines]
  • A. Philippine Airlines chosen
    Philippine Airlines is the flag carrier of the Philippines, operating a wide network of domestic and international flights across Asia, North America, Oceania, and beyond.
  • B. Cebu Pacific
    Cebu Pacific is a major low-cost airline based in the Philippines, known for operating extensive domestic and regional routes across Asia.
  • C. Royal Air Philippines
    Royal Air Philippines is a Philippine low-cost airline operating domestic and regional flights, primarily based in Manila.
  • D. Asia Pacific Airlines
    Asia Pacific Airlines is a cargo and charter airline based in Guam that primarily serves destinations across Micronesia and the Western Pacific region.
  • E. Philippines AirAsia
    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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: secondaryHubFor
Context triple: [Mactan–Cebu International Airport, secondaryHubFor, Philippine Airlines]
  • A. secondaryHub chosen
    Indicates that an entity functions as a secondary or backup hub in relation to a primary hub within a network or system.
  • B. secondaryTo
    Indicates that one condition, event, or factor occurs as a consequence of, or is caused by, another primary condition, event, or factor.
  • C. primaryHubFor
    Indicates that one entity serves as the main central hub or core point of coordination for another entity or set of entities.
  • D. secondaryTarget
    Indicates that an entity serves as an additional or subordinate target in relation to a primary target within a given context or action.
  • E. secondaryDomain
    Indicates that one domain functions as a secondary or auxiliary domain in relation to a primary domain.
  • F. None of above.

Provenance (4 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_69b3453700a08190ae88792e3dc63207 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34e62e3c881909ffb9269ba9018b9 completed March 12, 2026, 11:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5a85fdbe08190bcdc18a4bc456b59 completed March 14, 2026, 6:26 p.m.
PD Predicate disambiguation batch_69b347f3bd188190b0cd613e8a5c1683 completed March 12, 2026, 11:10 p.m.
Created at: March 12, 2026, 11:05 p.m.