Triple

T1050113
Position Surface form Disambiguated ID Type / Status
Subject Etihad Campus E22676 entity
Predicate sponsor P67 FINISHED
Object Etihad Airways 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 | Statement: [Etihad Campus, sponsor, Etihad Airways]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Etihad Airways
Context triple: [Etihad Campus, sponsor, Etihad Airways]
  • 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. Qatar Airways
    Qatar Airways is the state-owned flag carrier of Qatar, renowned for its extensive global network and high-end service standards.
  • C. Emirates
    Emirates is a major Dubai-based international airline renowned for its extensive global route network and premium in-flight services.
  • D. Middle East Airlines
    Middle East Airlines is the national flag carrier of Lebanon, operating regional and international flights primarily from its hub at Beirut–Rafic Hariri International Airport.
  • E. Oman Air
    Oman Air is the national airline of Oman, operating regional and international flights from its main hub in Muscat.
  • 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_69a493da02e081908c13ff5e02a0fe7a completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b8b2c6208190b6fdf3e93b1b1d04 completed March 1, 2026, 10:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac4c1b4c3481909ec58291dc9cc32f completed March 7, 2026, 4:02 p.m.
Created at: March 1, 2026, 7:42 p.m.