Triple

T1292936
Position Surface form Disambiguated ID Type / Status
Subject Antonio B. Won Pat International Airport E27587 entity
Predicate majorHubFor P2958 FINISHED
Object air travel in the Western Pacific 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: air travel in the Western Pacific | Statement: [Antonio B. Won Pat International Airport, majorHubFor, air travel in the Western Pacific]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: majorHubFor
Context triple: [Antonio B. Won Pat International Airport, majorHubFor, air travel in the Western Pacific]
  • A. roadNetworkHubOf
    Indicates that one location functions as a central node or hub within the road network relative to another location or area.
  • B. primaryHubFor chosen
    Indicates that one entity serves as the main central hub or core point of coordination for another entity or set of entities.
  • C. secondaryHub
    Indicates that an entity functions as a secondary or backup hub in relation to a primary hub within a network or system.
  • D. otherMajorTerminal
    Indicates that an entity is associated with a different primary terminal or endpoint than the one currently referenced or considered.
  • E. transportHubType
    Indicates the specific category or kind of transport hub associated with an entity (e.g., airport, train station, bus terminal).
  • 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_69a496d4ec448190ad653b2590c46711 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c3bb3a9c81909db2ad91defd87b6 completed March 1, 2026, 10:54 p.m.
PD Predicate disambiguation batch_69a4bee64d908190b6a9bb479959d523 completed March 1, 2026, 10:34 p.m.
Created at: March 1, 2026, 7:51 p.m.