Triple
T18998931
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Volotea |
E464893
|
entity |
| Predicate | callsign |
P1565
|
FINISHED |
| Object |
VOLOTEA
VOLOTEA is a Spanish low-cost airline that primarily operates point-to-point flights connecting small and mid-sized European cities.
|
E1353326
|
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: VOLOTEA | Statement: [Volotea, callsign, VOLOTEA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: VOLOTEA Context triple: [Volotea, callsign, VOLOTEA]
-
A.
Voli
Voli is a Montenegrin retail company best known for operating one of the country’s largest supermarket and hypermarket chains.
-
B.
VUELING
VUELING is a Spanish low-cost airline based in Barcelona that operates extensive domestic and European routes.
-
C.
GO-FLY
GO-FLY is the radio callsign used by the former British low-cost airline Go Fly for air traffic control and communication purposes.
-
D.
Passion Air
Passion Air is a Ghanaian domestic airline based in Accra that operates passenger flights connecting major cities within Ghana.
-
E.
Vueling Club
Vueling Club is the frequent-flyer program of Spanish low-cost airline Vueling, allowing members to earn and redeem Avios points on flights and partner services.
- 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: VOLOTEA Triple: [Volotea, callsign, VOLOTEA]
Generated description
VOLOTEA is a Spanish low-cost airline that primarily operates point-to-point flights connecting small and mid-sized European cities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: VOLOTEA Target entity description: VOLOTEA is a Spanish low-cost airline that primarily operates point-to-point flights connecting small and mid-sized European cities.
-
A.
Voli
Voli is a Montenegrin retail company best known for operating one of the country’s largest supermarket and hypermarket chains.
-
B.
VUELING
VUELING is a Spanish low-cost airline based in Barcelona that operates extensive domestic and European routes.
-
C.
GO-FLY
GO-FLY is the radio callsign used by the former British low-cost airline Go Fly for air traffic control and communication purposes.
-
D.
Passion Air
Passion Air is a Ghanaian domestic airline based in Accra that operates passenger flights connecting major cities within Ghana.
-
E.
Vueling Club
Vueling Club is the frequent-flyer program of Spanish low-cost airline Vueling, allowing members to earn and redeem Avios points on flights and partner services.
- 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_69d8dd01a56c81909694a128c66b21d7 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d6838f4481909b265e29964b0dca |
completed | April 20, 2026, 7:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05b45b9ca0819090a85f5708e9c632 |
completed | May 14, 2026, 11:39 a.m. |
| NEDg | Description generation | batch_6a05b68205948190a6846e2cd8ba66ae |
completed | May 14, 2026, 11:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05b73aa91c8190abe816e72d2f56f7 |
completed | May 14, 2026, 11:51 a.m. |
Created at: April 10, 2026, 12:01 p.m.