Triple
T6873936
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King Abdulaziz International Airport |
E158623
|
entity |
| Predicate | servesAsHubFor |
P423
|
FINISHED |
| Object | flyadeal |
E168124
|
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: flyadeal | Statement: [King Abdulaziz International Airport, servesAsHubFor, flyadeal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: flyadeal Context triple: [King Abdulaziz International Airport, servesAsHubFor, flyadeal]
-
A.
flyadeal
chosen
flyadeal is a Saudi low-cost airline based in Jeddah that operates domestic and regional flights as part of the Saudia Group.
-
B.
FlySafair
FlySafair is a South African low-cost airline known for operating domestic routes with a focus on affordability and reliability.
-
C.
flydubai
flydubai is a Dubai-based low-cost airline operating an extensive network of regional and international routes, primarily across the Middle East, Asia, Africa, and Europe.
-
D.
Flybondi
Flybondi is an Argentine low-cost airline known for pioneering budget air travel within Argentina and operating domestic and regional routes from key hubs such as Buenos Aires.
-
E.
Flyadeal
Flyadeal is a Saudi low-cost airline based in Jeddah that operates domestic and regional flights within the Middle East.
- 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.