Triple
T6724052
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VLG |
E153467
|
entity |
| Predicate | airlineCallsign |
P13478
|
FINISHED |
| Object |
VUELING
VUELING is a Spanish low-cost airline based in Barcelona that operates extensive domestic and European routes.
|
E613615
|
NE FINISHED |
How this triple was built (4 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: VUELING | Statement: [VLG, airlineCallsign, VUELING]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: VUELING Context triple: [VLG, airlineCallsign, VUELING]
-
A.
Equair
Equair is an Ecuadorian airline that operated domestic passenger flights, notably serving routes from Guayaquil and Quito.
-
B.
Cargojet
Cargojet is a Canadian cargo airline specializing in time-sensitive overnight air freight services across North America and select international routes.
-
C.
Avion
Avion is a commune in the Pas-de-Calais department in northern France.
-
D.
Solaseed Air
Solaseed Air is a Japanese regional airline based in Miyazaki that primarily operates domestic routes across Kyushu and other parts of Japan.
-
E.
Aeroplan
Aeroplan is Air Canada's loyalty program that allows members to earn and redeem points for flights, upgrades, and other travel-related rewards.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: VUELING Triple: [VLG, airlineCallsign, VUELING]
Generated description
VUELING is a Spanish low-cost airline based in Barcelona that operates extensive domestic and European routes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: VUELING Target entity description: VUELING is a Spanish low-cost airline based in Barcelona that operates extensive domestic and European routes.
-
A.
Equair
Equair is an Ecuadorian airline that operated domestic passenger flights, notably serving routes from Guayaquil and Quito.
-
B.
Cargojet
Cargojet is a Canadian cargo airline specializing in time-sensitive overnight air freight services across North America and select international routes.
-
C.
Avion
Avion is a commune in the Pas-de-Calais department in northern France.
-
D.
Solaseed Air
Solaseed Air is a Japanese regional airline based in Miyazaki that primarily operates domestic routes across Kyushu and other parts of Japan.
-
E.
Aeroplan
Aeroplan is Air Canada's loyalty program that allows members to earn and redeem points for flights, upgrades, and other travel-related rewards.
- F. None of above. chosen
Provenance (5 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_69c6880afb988190ad88011b48ecfcba |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d13b296c8190bf54009063032c6d |
completed | March 27, 2026, 6:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c700a34e248190ba9d73437b19a96d |
completed | March 27, 2026, 10:11 p.m. |
| NEDg | Description generation | batch_69c703ad7e0c81908da32c96806f3b07 |
completed | March 27, 2026, 10:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7042f23408190b06faafcb3251276 |
completed | March 27, 2026, 10:26 p.m. |
Created at: March 27, 2026, 2:08 p.m.