Triple

T13689668
Position Surface form Disambiguated ID Type / Status
Subject LPPD E328226 entity
Predicate servesAsFocusCityFor P1655 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: [LPPD, servesAsFocusCityFor, Azores Airlines]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Azores Airlines
Context triple: [LPPD, servesAsFocusCityFor, 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. Astraeus Airlines
    Astraeus Airlines was a UK-based charter and wet-lease airline known for employing Iron Maiden frontman Bruce Dickinson as a commercial pilot.
  • D. Aviaco
    Aviaco was a Spanish airline that operated domestic and regional flights from the mid-20th century until its integration into Iberia.
  • E. Atlantic Airways
    Atlantic Airways is the national airline of the Faroe Islands, operating domestic helicopter services and international flights primarily within Europe.
  • 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_69d8076ff62081908a7bd79889edd7a0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc6721c248190ac48491b5f39c8f0 completed April 12, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7944b93d88190806d6b5735f7e794 completed May 3, 2026, 6:30 p.m.
Created at: April 9, 2026, 9:53 p.m.