Triple

T3484790
Position Surface form Disambiguated ID Type / Status
Subject Adelaide Airport E73580 entity
Predicate hasHubAirline P423 FINISHED
Object Rex Airlines E158316 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: Rex Airlines | Statement: [Adelaide Airport, hasHubAirline, Rex Airlines]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rex Airlines
Context triple: [Adelaide Airport, hasHubAirline, Rex Airlines]
  • A. Rex Airlines chosen
    Rex Airlines is an Australian regional airline that operates domestic passenger services across multiple states, connecting major cities with regional and remote communities.
  • B. Solomon Airlines
    Solomon Airlines is the national flag carrier of the Solomon Islands, operating domestic and international flights across the Pacific region.
  • C. 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.
  • D. Flair Airlines
    Flair Airlines is a Canadian ultra-low-cost carrier that operates domestic and select international flights, emphasizing budget-friendly travel options.
  • E. Ibex Airlines
    Ibex Airlines is a Japanese regional airline that operates domestic routes, often connecting smaller cities and regional airports within Japan.
  • 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_69ad85b3c9b08190857cae74c7f36da9 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adbb795db88190805b26d9774fdb73 completed March 8, 2026, 6:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69b36820c90c819091b68cff7a0a2cda completed March 13, 2026, 1:28 a.m.
Created at: March 8, 2026, 3:17 p.m.