Triple

T4022227
Position Surface form Disambiguated ID Type / Status
Subject Air Serbia E91304 entity
Predicate alliance P600 FINISHED
Object Etihad Airways Partners E30875 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: Etihad Airways Partners | Statement: [Air Serbia, alliance, Etihad Airways Partners]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Etihad Airways Partners
Context triple: [Air Serbia, alliance, Etihad Airways Partners]
  • A. Etihad Airways chosen
    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.
  • B. Etihad Cargo
    Etihad Cargo is the freight and logistics division of Etihad Airways, providing global air cargo services across an international network.
  • C. Qatar Airways
    Qatar Airways is the state-owned flag carrier of Qatar, renowned for its extensive global network and high-end service standards.
  • D. 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.
  • 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_69aed9618b04819081750d979d2af098 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefaccb2f48190a16a1ba6e938da85 completed March 9, 2026, 4:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69b54c7fd474819097766194ca8d165d completed March 14, 2026, 11:54 a.m.
Created at: March 9, 2026, 3:35 p.m.