Triple

T13475478
Position Surface form Disambiguated ID Type / Status
Subject MALAYSIAN THREE SEVEN ZERO E318238 entity
Predicate associatedFlightType P110527 FINISHED
Object international passenger flight 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: international passenger flight | Statement: [MALAYSIAN THREE SEVEN ZERO, associatedFlightType, international passenger flight]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: associatedFlightType
Context triple: [MALAYSIAN THREE SEVEN ZERO, associatedFlightType, international passenger flight]
  • A. associatedAirlineType
    Indicates a relationship where an airline is linked to a specific classification or type (e.g., carrier category or operational class).
  • B. associatedWithFlight
    Indicates a relationship where an entity is linked or connected to a specific flight, such as by participation, operation, or relevance.
  • C. associatedAirlineServiceType
    Indicates the specific type or category of airline service that is linked or related to another entity or activity.
  • D. airTravelRelationWith
    Indicates a relationship where one entity travels to, from, or between locations by air (e.g., via airplane or other aircraft) in connection with another entity.
  • E. airlineType
    Indicates the classification or category of an airline based on its operational or service characteristics.
  • 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_69d806b6bfec819089222715b2e86c8e completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaf2551b48190a074fd256791742d completed April 12, 2026, 2:41 p.m.
PD Predicate disambiguation batch_69dbadfddefc81909ef7fde23b181b5c completed April 12, 2026, 2:36 p.m.
PDg Predicate description generation batch_69dbaecc98cc8190829f5be759c4f1e3 completed April 12, 2026, 2:40 p.m.
Created at: April 9, 2026, 9:42 p.m.