Triple

T2370076
Position Surface form Disambiguated ID Type / Status
Subject Ninoy Aquino International Airport E46065 entity
Predicate hasPassengerTerminalDedicatedTo P1297 FINISHED
Object international flights 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 flights | Statement: [Ninoy Aquino International Airport, hasPassengerTerminalDedicatedTo, international flights]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPassengerTerminalDedicatedTo
Context triple: [Ninoy Aquino International Airport, hasPassengerTerminalDedicatedTo, international flights]
  • A. hasPassengerTerminal chosen
    Indicates that one entity possesses or is equipped with a passenger terminal used for boarding, alighting, or handling passengers.
  • B. hasPassengerTerminalDesign
    Indicates a design relationship in which one entity specifies or defines the passenger terminal layout, structure, or configuration of another entity.
  • C. hasCargoTerminal
    Indicates that a location or facility includes or is equipped with a cargo terminal for handling freight.
  • D. hasTransportHub
    Indicates that a location contains or serves as a central facility where multiple transport routes or modes connect for passenger or cargo movement.
  • E. hasEndpointStation
    Indicates that something (such as a route, line, or service) has a specific station as one of its terminal endpoints.
  • F. None of above.

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_69a88a145268819083e2736cb835c696 completed March 4, 2026, 7:37 p.m.
NER Named-entity recognition batch_69abc76f5aec8190867d621e6849258c completed March 7, 2026, 6:36 a.m.
PD Predicate disambiguation batch_69abc59b88348190a2d6c08f69974117 completed March 7, 2026, 6:28 a.m.
Created at: March 4, 2026, 7:56 p.m.