Triple

T1928053
Position Surface form Disambiguated ID Type / Status
Subject Osaka International Airport E40876 entity
Predicate focusCityFor P164 FINISHED
Object IBEX Airlines E45429 NE 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: IBEX Airlines | Statement: [Osaka International Airport, focusCityFor, IBEX Airlines]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: IBEX Airlines
Context triple: [Osaka International Airport, focusCityFor, IBEX Airlines]
  • A. Ibex Airlines chosen
    Ibex Airlines is a Japanese regional airline that operates domestic routes, often connecting smaller cities and regional airports within Japan.
  • B. Rex Airlines
    Rex Airlines is an Australian regional airline that operates domestic passenger services across multiple states, connecting major cities with regional and remote communities.
  • C. Flair Airlines
    Flair Airlines is a Canadian ultra-low-cost carrier that operates domestic and select international flights, emphasizing budget-friendly travel options.
  • D. Sky Airline
    Sky Airline is a Chilean low-cost carrier that operates domestic and regional flights across South America.
  • E. Sun d'Or International Airlines
    Sun d'Or International Airlines is an Israeli charter airline brand operating leisure and seasonal flights under the ownership of El Al.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69a8864711648190b07bed24ed76258e completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb263cdb8819084d0bda98a2a71e0 completed March 7, 2026, 5:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69adfbb2cc988190a4046c17c8389996 completed March 8, 2026, 10:44 p.m.
Created at: March 4, 2026, 7:35 p.m.