Triple
T14269866
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OKBK |
E353750
|
entity |
| Predicate | hubFor |
P423
|
FINISHED |
| Object | Jazeera Airways |
E370776
|
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: Jazeera Airways | Statement: [OKBK, hubFor, Jazeera Airways]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jazeera Airways Context triple: [OKBK, hubFor, Jazeera Airways]
-
A.
Jazeera Airways
chosen
Jazeera Airways is a Kuwaiti low-cost airline based in Kuwait that operates regional and international flights across the Middle East, Asia, and Europe.
-
B.
Jubba Airways
Jubba Airways is a Somali airline that operates regional passenger and cargo flights across the Horn of Africa and the Middle East.
-
C.
Badr Airlines
Badr Airlines is a Sudanese airline that operates passenger and cargo services, primarily based in Khartoum.
-
D.
Jordanian Airways
Jordanian Airways was a mid-20th-century airline based in Jordan that operated regional and international passenger services.
-
E.
Alia Airlines
Alia Airlines was the original name of Royal Jordanian, the flag carrier airline of Jordan.
- 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_69d8278d25148190abf1a8c8f5f533ad |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de657fe6708190b41de48c43cff647 |
completed | April 14, 2026, 4:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd4c31654c81908f53d4c21e255afb |
completed | May 8, 2026, 2:36 a.m. |
Created at: April 10, 2026, 1:10 a.m.