Triple

T14743610
Position Surface form Disambiguated ID Type / Status
Subject Qmiles E346410 entity
Predicate issuer P29 FINISHED
Object Qatar Airways Group E11877 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: Qatar Airways Group | Statement: [Qmiles, issuer, Qatar Airways Group]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Qatar Airways Group
Context triple: [Qmiles, issuer, Qatar Airways Group]
  • 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. 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.
  • C. 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.
  • D. Etihad Aviation Group
    Etihad Aviation Group is a diversified aviation and travel conglomerate based in Abu Dhabi that oversees Etihad Airways and related airline, tourism, and aviation services businesses.
  • E. 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.
  • 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_69d822e6f1c88190bc494d491a907114 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec7367a1c819081082cc355e385fa completed April 14, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe7e79997c8190bb6f158d50603066 completed May 9, 2026, 12:23 a.m.
Created at: April 10, 2026, 1:30 a.m.