Triple
T3300496
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Avios |
E69318
|
entity |
| Predicate | usedBy |
P260
|
FINISHED |
| Object |
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.
|
E346412
|
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: Aer Lingus AerClub | Statement: [Avios, usedBy, Aer Lingus AerClub]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aer Lingus AerClub Context triple: [Avios, usedBy, Aer Lingus AerClub]
-
A.
Aer Lingus
Aer Lingus is the flag carrier airline of Ireland, operating international flights primarily between Ireland, Europe, and North America.
-
B.
Flynas
Flynas is a Saudi low-cost airline based in Riyadh that operates domestic and regional flights across the Middle East and beyond.
-
C.
Crossair
Crossair was a former Swiss regional airline that served as the main predecessor to Swiss International Air Lines after the collapse of Swissair.
-
D.
Ryanair
Ryanair is a major Irish low-cost airline known for its extensive network of short-haul flights across Europe.
-
E.
Lynx Air
Lynx Air is a Canadian ultra-low-cost airline that operates domestic and select international flights, primarily serving major hubs such as Toronto Pearson International Airport.
- 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: Aer Lingus AerClub Triple: [Avios, usedBy, Aer Lingus AerClub]
Generated description
Aer Lingus AerClub is the frequent-flyer loyalty program of Aer Lingus, allowing members to earn and redeem points on flights and partner services.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Aer Lingus AerClub Target entity description: Aer Lingus AerClub is the frequent-flyer loyalty program of Aer Lingus, allowing members to earn and redeem points on flights and partner services.
-
A.
Aer Lingus
Aer Lingus is the flag carrier airline of Ireland, operating international flights primarily between Ireland, Europe, and North America.
-
B.
Flynas
Flynas is a Saudi low-cost airline based in Riyadh that operates domestic and regional flights across the Middle East and beyond.
-
C.
Crossair
Crossair was a former Swiss regional airline that served as the main predecessor to Swiss International Air Lines after the collapse of Swissair.
-
D.
Ryanair
Ryanair is a major Irish low-cost airline known for its extensive network of short-haul flights across Europe.
-
E.
Lynx Air
Lynx Air is a Canadian ultra-low-cost airline that operates domestic and select international flights, primarily serving major hubs such as Toronto Pearson International Airport.
- 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_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. |
| NEDg | Description generation | batch_69b2fa0ed27c8190a32c153b44b7b2dd |
completed | March 12, 2026, 5:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b312b273b48190a949e61b87722084 |
completed | March 12, 2026, 7:23 p.m. |
Created at: March 8, 2026, 3:11 p.m.