Triple
T3300497
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Avios |
E69318
|
entity |
| Predicate | usedBy |
P260
|
FINISHED |
| Object | Vueling Club |
E28556
|
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: Vueling Club | Statement: [Avios, usedBy, Vueling Club]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vueling Club Context triple: [Avios, usedBy, Vueling Club]
-
A.
Vueling
chosen
Vueling is a Spanish low-cost airline that operates extensive domestic and European routes, particularly around major hubs such as Barcelona and other key cities.
-
B.
Blue Air
Blue Air is a Romanian low-cost airline that operated scheduled passenger flights across Europe.
-
C.
Smartavia
Smartavia is a Russian low-cost airline that operates domestic and regional flights, using Moscow Domodedovo International Airport as one of its main bases.
-
D.
Ibex Airlines
Ibex Airlines is a Japanese regional airline that operates domestic routes, often connecting smaller cities and regional airports within Japan.
-
E.
Viva Aerobus
Viva Aerobus is a Mexican low-cost airline known for offering budget-friendly domestic and regional flights across Mexico and select international destinations.
- 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_69ad859e529c8190a404273f53cb487d |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb0a66fcc819093931fe7a6507723 |
completed | March 8, 2026, 5:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2f3db14ac819083182f56c60b61b2 |
completed | March 12, 2026, 5:11 p.m. |
Created at: March 8, 2026, 3:11 p.m.