Triple

T17401971
Position Surface form Disambiguated ID Type / Status
Subject Airbus A321neo E423110 entity
Predicate operator P179 FINISHED
Object Qatar Airways 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: Qatar Airways | Statement: [Airbus A321neo, operator, Qatar Airways]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Qatar Airways
Context triple: [Airbus A321neo, operator, Qatar Airways]
  • A. Qatar Airways chosen
    Qatar Airways is the state-owned flag carrier of Qatar, renowned for its extensive global network and high-end service standards.
  • B. Gulf Air
    Gulf Air is the national flag carrier airline of the Kingdom of Bahrain, operating regional and international flights across the Middle East, Asia, Europe, and Africa.
  • C. Etihad Airways
    Etihad Airways is the national airline of the United Arab Emirates, based in Abu Dhabi and operating an extensive network of international passenger and cargo flights.
  • D. Qatar Airways Cargo
    Qatar Airways Cargo is the dedicated air freight division of Qatar Airways, operating a global network of cargo services using a fleet of freighter aircraft and belly-hold capacity on passenger flights.
  • E. Kuwait Airways
    Kuwait Airways is the national flag carrier airline of Kuwait, operating regional and international passenger and cargo services primarily across the Middle East, Asia, Europe, and North America.
  • 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_69d889d710288190bf0f4762801fefae completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43b046ad88190a95bbeda4e602514 completed April 19, 2026, 2:16 a.m.
Created at: April 10, 2026, 5:45 a.m.