Triple
T330233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saudi Arabia |
E6608
|
entity |
| Predicate | nationalAirline |
P3074
|
FINISHED |
| Object | Saudia |
E31450
|
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: Saudia | Statement: [Saudi Arabia, nationalAirline, Saudia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saudia Context triple: [Saudi Arabia, nationalAirline, Saudia]
-
A.
Saudia
chosen
Saudia is the flag carrier airline of Saudi Arabia, operating an extensive network of domestic and international flights across the Middle East, Asia, Africa, Europe, and North America.
-
B.
Oman Air
Oman Air is the national airline of Oman, operating regional and international flights from its main hub in Muscat.
-
C.
Qatar Airways
Qatar Airways is the state-owned flag carrier of Qatar, renowned for its extensive global network and high-end service standards.
-
D.
Middle East Airlines
Middle East Airlines is the national flag carrier of Lebanon, operating regional and international flights primarily from its hub at Beirut–Rafic Hariri International Airport.
-
E.
Royal Jordanian
Royal Jordanian is the flag carrier airline of Jordan, operating international flights primarily from its hub at Amman’s Queen Alia International Airport.
- 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_69a2e79434908190a9d5afe415153ad9 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2eaaeb64881909c7ab9bca3378e2b |
completed | Feb. 28, 2026, 1:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3cff160788190a49faad3c011965e |
completed | March 1, 2026, 5:34 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.