Triple
T8670440
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sudan Airways |
E205781
|
entity |
| Predicate | hasCompetitor |
P1375
|
FINISHED |
| Object | Badr Airlines |
E219997
|
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: Badr Airlines | Statement: [Sudan Airways, hasCompetitor, Badr Airlines]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Badr Airlines Context triple: [Sudan Airways, hasCompetitor, Badr Airlines]
-
A.
Badr Airlines
chosen
Badr Airlines is a Sudanese airline that operates passenger and cargo services, primarily based in Khartoum.
-
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.
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.
-
D.
Israir Airlines
Israir Airlines is an Israeli airline that operates domestic and international flights, primarily serving leisure and tourist destinations from its base in Israel.
-
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_69ca83529a9c8190b5c075b4f14636ed |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc4918e3a88190b3c49043211840fd |
completed | March 31, 2026, 10:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cecd2b996481908da33fbd95494376 |
completed | April 2, 2026, 8:10 p.m. |
Created at: March 30, 2026, 6:31 p.m.