Triple
T5722755
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AerClub |
E126185
|
entity |
| Predicate | allianceCurrencySharing |
P66084
|
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: [AerClub, allianceCurrencySharing, Vueling Club]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vueling Club Context triple: [AerClub, allianceCurrencySharing, 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.
Virgin Atlantic Clubhouse
Virgin Atlantic Clubhouse is Virgin Atlantic’s premium airport lounge brand, known for its stylish design, à la carte dining, and exclusive amenities for Upper Class and eligible passengers.
-
C.
Blue Air
Blue Air is a Romanian low-cost airline that operated scheduled passenger flights across Europe.
-
D.
Aer Lingus AerClub
Aer Lingus AerClub is the frequent-flyer loyalty program of Aer Lingus, allowing members to earn and redeem points on flights and partner services.
-
E.
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.
- 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_69c0082f723881908ce8bb13a0c0f8b7 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0335cf55c8190937a8657406ac4a2 |
completed | March 22, 2026, 6:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c05a80aefc8190b6ea35ab405ea502 |
completed | March 22, 2026, 9:09 p.m. |
Created at: March 22, 2026, 3:46 p.m.