Triple

T36039461
Position Surface form Disambiguated ID Type / Status
Subject Hawaii island airports E1042498 entity
Predicate secondaryCommercialAirport P199689 FINISHED
Object Hilo International Airport NE NERFINISHED

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: Hilo International Airport | Statement: [Hawaii island airports, secondaryCommercialAirport, Hilo International Airport]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: secondaryCommercialAirport
Context triple: [Hawaii island airports, secondaryCommercialAirport, Hilo International Airport]
  • A. hasSecondaryAirport
    Indicates that an entity is associated with an additional, typically smaller or alternative, airport beyond its primary one.
  • B. secondaryCityTerminus
    Indicates that a city serves as a secondary (non-primary) terminus or endpoint for a given route or line.
  • C. secondaryHubOfAirline
    Indicates that an airport serves as a secondary operational hub for a particular airline, supporting but not replacing its primary hub activities.
  • D. secondInternationalAirportOf
    Indicates that an airport serves as the second international airport for a given city, region, or country.
  • E. secondaryHub
    Indicates that an entity functions as a secondary or backup hub in relation to a primary hub within a network or system.
  • 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_69f76e2d7e8c8190bac4e90734566799 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69ff4fc6077c8190b8fd9b43fcfde986 completed May 9, 2026, 3:16 p.m.
PD Predicate disambiguation batch_69ff4e61fb648190a72f7918961ece9c completed May 9, 2026, 3:10 p.m.
PDg Predicate description generation batch_69ff4fc5289c819084abd5ede185e96b completed May 9, 2026, 3:16 p.m.
Created at: May 3, 2026, 4:07 p.m.