Triple

T1765037
Position Surface form Disambiguated ID Type / Status
Subject Noi Bai International Airport E38742 entity
Predicate rankingInCountryByTraffic P31482 FINISHED
Object one of the busiest airports in Vietnam LITERAL 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: one of the busiest airports in Vietnam | Statement: [Noi Bai International Airport, rankingInCountryByTraffic, one of the busiest airports in Vietnam]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: rankingInCountryByTraffic
Context triple: [Noi Bai International Airport, rankingInCountryByTraffic, one of the busiest airports in Vietnam]
  • A. countryRanking
    Indicates the relative position or rank assigned to a country within a specific ordered list or comparative evaluation.
  • B. passengerTrafficRankingWorld
    Indicates the relative position of an entity in a global ranking based on the volume of passenger traffic it handles.
  • C. populationRank
    Indicates the relative position of an entity in an ordered list based on the size of its population.
  • D. countryRankContext
    Indicates the relative position or ranking of a country within a specified contextual framework (such as economic, political, or performance-based criteria).
  • E. wealthRanking
    Indicates the relative ordering of entities based on their level of wealth or financial resources.
  • F. None of above. chosen

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_69a8862d562481908d7025a1c1f67c0d completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69ab173936b4819097332ee185996bbd completed March 6, 2026, 6:04 p.m.
PD Predicate disambiguation batch_69aa61c9e06c819085489e00cfe72153 completed March 6, 2026, 5:10 a.m.
PDg Predicate description generation batch_69ab173830a481908b67928f16f5d999 completed March 6, 2026, 6:04 p.m.
Created at: March 4, 2026, 7:31 p.m.