Triple
T5581575
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Royal Jordanian |
E146651
|
entity |
| Predicate | formerName |
P65
|
FINISHED |
| Object | Alia Airlines |
E146651
|
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: Alia Airlines | Statement: [Royal Jordanian, formerName, Alia Airlines]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alia Airlines Context triple: [Royal Jordanian, formerName, Alia Airlines]
-
A.
Alia Airlines
chosen
Alia Airlines was the original name of Royal Jordanian, the flag carrier airline of Jordan.
-
B.
Meraj Airlines
Meraj Airlines is an Iranian passenger airline operating domestic and international flights, with a primary base in Tehran.
-
C.
Buraq Air
Buraq Air is a Libyan airline that operates domestic and regional flights, primarily serving routes within Libya and neighboring countries.
-
D.
Badr Airlines
Badr Airlines is a Sudanese airline that operates passenger and cargo services, primarily based in Khartoum.
-
E.
Jazeera Airways
Jazeera Airways is a Kuwaiti low-cost airline based in Kuwait that operates regional and international flights across the Middle East, Asia, and Europe.
- 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_69c0090287a08190b4098411effe970c |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c0208147a48190b2cdb42b9c9814a3 |
completed | March 22, 2026, 5:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0285baa648190bf8e94740ea62466 |
completed | March 22, 2026, 5:35 p.m. |
Created at: March 22, 2026, 3:37 p.m.