Triple

T10752895
Position Surface form Disambiguated ID Type / Status
Subject Scoot E253614 entity
Predicate hasFrequentFlyerProgram P13481 FINISHED
Object KrisFlyer E253616 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: KrisFlyer | Statement: [Scoot, hasFrequentFlyerProgram, KrisFlyer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KrisFlyer
Context triple: [Scoot, hasFrequentFlyerProgram, KrisFlyer]
  • A. KrisFlyer chosen
    KrisFlyer is the loyalty program of Singapore Airlines, allowing members to earn and redeem miles for flights, upgrades, and other travel-related rewards across the airline and its partners.
  • B. Singapore Airlines
    Singapore Airlines is the flag carrier of Singapore, renowned for its premium service, extensive international network, and consistently high rankings among the world’s best airlines.
  • C. Malindo Air
    Malindo Air is a Malaysian hybrid full-service and low-cost airline that became the first operator of the Boeing 737 MAX 8.
  • D. Jetstar Asia Airways
    Jetstar Asia Airways is a Singapore-based low-cost airline operating regional flights across Asia under the Jetstar brand.
  • E. AirAsia
    AirAsia is a Malaysian low-cost airline known for its extensive network of domestic and international routes across Asia and beyond.
  • 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_69d6aa5e51e8819095f06881cecf152e completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d71dc184d0819085f8bc4edb034377 completed April 9, 2026, 3:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69dbdb897f7c81909002f2478613eff8 completed April 12, 2026, 5:51 p.m.
Created at: April 8, 2026, 9:15 p.m.