Triple
T12871605
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Air Algérie |
E307862
|
entity |
| Predicate | callsign |
P1565
|
FINISHED |
| Object | AIR ALGERIE |
E307862
|
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: AIR ALGERIE | Statement: [Air Algérie, callsign, AIR ALGERIE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AIR ALGERIE Context triple: [Air Algérie, callsign, AIR ALGERIE]
-
A.
Air Algérie
chosen
Air Algérie is the national flag carrier airline of Algeria, operating domestic and international flights primarily from its base in Algiers.
-
B.
Tunisair
Tunisair is the flag carrier airline of Tunisia, operating domestic and international flights primarily from its hub in Tunis.
-
C.
Royal Air Maroc
Royal Air Maroc is the flag carrier airline of Morocco, operating an extensive network of flights across Africa, Europe, the Americas, and the Middle East from its main hub in Casablanca.
-
D.
Air Arabia Maroc
Air Arabia Maroc is a Moroccan low-cost airline based in Casablanca that operates regional and international flights as part of the Air Arabia Group.
-
E.
Tassili Airlines
Tassili Airlines is an Algerian airline based in Algiers that operates domestic and regional flights, primarily serving the oil and gas industry and general passenger traffic.
- 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_69d7bdf69bc48190af6c2621f28ca351 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d970905784819091631161a9de98c5 |
completed | April 10, 2026, 9:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6a55161a881908d767653c17d3acc |
completed | May 3, 2026, 1:30 a.m. |
Created at: April 9, 2026, 5:38 p.m.