Triple

T6873934
Position Surface form Disambiguated ID Type / Status
Subject King Abdulaziz International Airport E158623 entity
Predicate servesAsHubFor P423 FINISHED
Object Saudia E31450 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: Saudia | Statement: [King Abdulaziz International Airport, servesAsHubFor, Saudia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saudia
Context triple: [King Abdulaziz International Airport, servesAsHubFor, Saudia]
  • A. Saudia chosen
    Saudia is the flag carrier airline of Saudi Arabia, operating an extensive network of domestic and international flights across the Middle East, Asia, Africa, Europe, and North America.
  • 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. Oman Air
    Oman Air is the national airline of Oman, operating regional and international flights from its main hub in Muscat.
  • D. Iraqi Airways
    Iraqi Airways is the national flag carrier airline of Iraq, operating domestic and international passenger and cargo services across the Middle East, Europe, and other regions.
  • E. Qatar Airways
    Qatar Airways is the state-owned flag carrier of Qatar, renowned for its extensive global network and high-end service standards.
  • 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_69c68832af1481908ce356e133ebaebe completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d8c8d3888190b1c1f74aa66d6071 completed March 27, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c742b66ca08190bed17fa3ab6733ef completed March 28, 2026, 2:53 a.m.
Created at: March 27, 2026, 2:22 p.m.