Triple
T10413182
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | EgyptAir |
E245445
|
entity |
| Predicate | formerName |
P65
|
FINISHED |
| Object | United Arab Airlines |
E245445
|
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: United Arab Airlines | Statement: [EgyptAir, formerName, United Arab Airlines]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: United Arab Airlines Context triple: [EgyptAir, formerName, United Arab Airlines]
-
A.
United Arab Airlines
chosen
United Arab Airlines was the former name of EgyptAir, the national flag carrier airline of Egypt.
-
B.
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.
-
C.
Iraqi Airways
Iraqi Airways is the national flag carrier airline of Iraq, operating domestic and international passenger and cargo services across the Middle East, Europe, and other regions.
-
D.
Gulf Air
Gulf Air is the national flag carrier airline of the Kingdom of Bahrain, operating regional and international flights across the Middle East, Asia, Europe, and Africa.
-
E.
Badr Airlines
Badr Airlines is a Sudanese airline that operates passenger and cargo services, primarily based in Khartoum.
- 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_69d381be340c8190b05998703d42d224 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4ea0ec6fc8190a71af759226a3cba |
completed | April 7, 2026, 11:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d87e9b86648190b83eb5261c9a7b97 |
completed | April 10, 2026, 4:37 a.m. |
Created at: April 6, 2026, 12:10 p.m.