Triple

T12821258
Position Surface form Disambiguated ID Type / Status
Subject Value Alliance E306534 entity
Predicate hasMember P10 FINISHED
Object Cebu Pacific E263652 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: Cebu Pacific | Statement: [Value Alliance, hasMember, Cebu Pacific]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cebu Pacific
Context triple: [Value Alliance, hasMember, Cebu Pacific]
  • A. Cebu Pacific chosen
    Cebu Pacific is a major low-cost airline based in the Philippines, known for operating extensive domestic and regional routes across Asia.
  • B. Philippine Airlines
    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.
  • C. Dragonair
    Dragonair was a Hong Kong-based regional airline, later rebranded as Cathay Dragon, that primarily operated flights within Asia.
  • D. 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.
  • E. Pan Asia Airlines
    Pan Asia Airlines was the original name of the Japanese regional carrier now known as Solaseed Air, which operates domestic flights primarily in Kyushu and Okinawa.
  • 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_69d7bdf46c448190b1faa55aaacb6317 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96e9fcc8c8190a926ab0481d28f14 completed April 10, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f69b99d9bc8190b67f73985c8f6768 completed May 3, 2026, 12:49 a.m.
Created at: April 9, 2026, 5:31 p.m.