Triple

T22040736
Position Surface form Disambiguated ID Type / Status
Subject Polet Airlines E544630 entity
Predicate operatedAs P4445 FINISHED
Object Polet Airlines NE NERFINISHED

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: Polet Airlines | Statement: [Polet Airlines, operatedAs, Polet Airlines]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Polet Airlines
Context triple: [Polet Airlines, operatedAs, Polet Airlines]
  • A. Polet Airlines chosen
    Polet Airlines was a Russian airline that operated cargo and passenger services, including long-haul flights with wide-body aircraft.
  • B. Makung International Airlines
    Makung International Airlines was a former Taiwanese regional carrier based in Penghu that later became part of UNI Air.
  • C. Cham Wings Airlines
    Cham Wings Airlines is a privately owned Syrian airline based in Damascus that operates regional and international passenger flights, often serving as an alternative to the state carrier Syrian Air.
  • D. Yamal Airlines
    Yamal Airlines is a Russian regional airline based in the Yamalo-Nenets Autonomous Okrug that operates domestic and some international passenger services.
  • E. Mandala Airlines
    Mandala Airlines was an Indonesian airline that operated domestic and regional flights before ceasing operations in the early 2010s.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e32445c8190ab97089b48a130bb completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f12828fc788190a22c0e9c2372656b completed April 28, 2026, 9:35 p.m.
Created at: April 16, 2026, 8:25 p.m.