Triple

T4785218
Position Surface form Disambiguated ID Type / Status
Subject LIS E106458 entity
Predicate isFocusCityFor P1295 FINISHED
Object Azores Airlines E157489 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: Azores Airlines | Statement: [LIS, isFocusCityFor, Azores Airlines]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Azores Airlines
Context triple: [LIS, isFocusCityFor, Azores Airlines]
  • A. Azores Airlines chosen
    Azores Airlines is a Portuguese airline that primarily serves the Azores archipelago, connecting its islands with mainland Portugal and various international destinations.
  • B. TAP Air Portugal
    TAP Air Portugal is the flag carrier airline of Portugal, operating an extensive network of international routes primarily from its Lisbon hub.
  • C. Vueling
    Vueling is a Spanish low-cost airline that operates extensive domestic and European routes, particularly around major hubs such as Barcelona and other key cities.
  • D. Ibex Airlines
    Ibex Airlines is a Japanese regional airline that operates domestic routes, often connecting smaller cities and regional airports within Japan.
  • E. Iberia Regional
    Iberia Regional is a Spanish regional airline brand operating short- and medium-haul feeder flights on behalf of Iberia, primarily within Spain and to nearby European destinations.
  • 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_69bd43f4a9588190bf73e20bc27c03cc completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd65b0ea408190b348d917883381de completed March 20, 2026, 3:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69be4d93f2cc8190acf96766d2c5a946 completed March 21, 2026, 7:49 a.m.
Created at: March 20, 2026, 1:22 p.m.