Triple

T2772186
Position Surface form Disambiguated ID Type / Status
Subject Suvarnabhumi Airport E61480 entity
Predicate focusCityFor P164 FINISHED
Object Thai Vietjet Air E199589 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: Thai Vietjet Air | Statement: [Suvarnabhumi Airport, focusCityFor, Thai Vietjet Air]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thai Vietjet Air
Context triple: [Suvarnabhumi Airport, focusCityFor, Thai Vietjet Air]
  • A. VietJet Air chosen
    VietJet Air is a Vietnamese low-cost airline known for its extensive domestic network and rapidly growing international routes across Asia.
  • B. Vietnam Airlines
    Vietnam Airlines is the national flag carrier of Vietnam, operating an extensive network of domestic and international flights across Asia, Europe, and other regions.
  • C. Bamboo Airways
    Bamboo Airways is a Vietnamese airline known for operating domestic and international flights with a hybrid service model that blends low-cost and full-service features.
  • D. EVA Air
    EVA Air is a major Taiwanese international airline known for its extensive global route network, high service standards, and innovative themed flights such as its Hello Kitty jets.
  • 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.

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_69ab4b7cd13481909174bca9809ed259 completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdd6b9cc48190bd9f7d8d33fe1ec1 completed March 7, 2026, 8:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc0528304819081ad54a945acd77a completed March 10, 2026, 6:55 a.m.
Created at: March 6, 2026, 9:57 p.m.