Triple

T15159044
Position Surface form Disambiguated ID Type / Status
Subject Sharjah International Airport E362156 entity
Predicate hubFor P423 FINISHED
Object Air Arabia E378628 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: Air Arabia | Statement: [Sharjah International Airport, hubFor, Air Arabia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Air Arabia
Context triple: [Sharjah International Airport, hubFor, Air Arabia]
  • A. Air Arabia chosen
    Air Arabia is a low-cost airline based in the United Arab Emirates, known for operating budget-friendly flights across the Middle East, North Africa, Asia, and Europe.
  • B. Air Arabia Egypt
    Air Arabia Egypt is an Egyptian low-cost airline based in Alexandria that operates regional and international flights as part of the Air Arabia Group.
  • 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. Oman Air
    Oman Air is the national airline of Oman, operating regional and international flights from its main hub in Muscat.
  • E. Air Arabia Maroc
    Air Arabia Maroc is a Moroccan low-cost airline based in Casablanca that operates regional and international flights as part of the Air Arabia Group.
  • 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_69d85a087b7c81908baa94a53dac8d68 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0060dd71881908ecc4a4f52d438a5 completed April 15, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69febffaa4b88190aab36fdae057e6d2 completed May 9, 2026, 5:02 a.m.
Created at: April 10, 2026, 3:08 a.m.