Triple

T1918144
Position Surface form Disambiguated ID Type / Status
Subject King Khalid International Airport E40064 entity
Predicate primaryHubFor P2958 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 Khalid International Airport, primaryHubFor, Saudia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saudia
Context triple: [King Khalid International Airport, primaryHubFor, 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. Qatar Airways
    Qatar Airways is the state-owned flag carrier of Qatar, renowned for its extensive global network and high-end service standards.
  • E. 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.
  • 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_69a8864298748190a2f2fd34f7ef8d77 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb2107fe48190bafff825f1f805ad completed March 7, 2026, 5:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69adf3dcc288819096855351a0e69069 completed March 8, 2026, 10:10 p.m.
Created at: March 4, 2026, 7:35 p.m.