Triple
T3300450
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Privilege Club |
E69317
|
entity |
| Predicate | rewardCurrency |
P245
|
FINISHED |
| Object |
Qmiles
Qmiles are the frequent-flyer reward points earned and redeemed by members of Qatar Airways’ Privilege Club loyalty program.
|
E346410
|
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: Qmiles | Statement: [Privilege Club, rewardCurrency, Qmiles]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Qmiles Context triple: [Privilege Club, rewardCurrency, Qmiles]
-
A.
LifeMiles
LifeMiles is the frequent-flyer loyalty program of Avianca, allowing members to earn and redeem miles for flights and related travel benefits.
-
B.
ConnectMiles
ConnectMiles is the frequent-flyer loyalty program of Copa Airlines, allowing members to earn and redeem miles for flights and travel-related benefits.
-
C.
Lotusmiles
Lotusmiles is the frequent-flyer loyalty program of Vietnam Airlines, offering members mileage accrual and tiered benefits for their travel with the carrier and its partners.
-
D.
Miles&Go
Miles&Go is TAP Air Portugal’s loyalty program that allows members to earn and redeem miles for flights, upgrades, and other travel-related benefits.
-
E.
MilleMiglia
MilleMiglia is Alitalia’s former frequent-flyer loyalty program that rewarded passengers with miles redeemable for flights and travel benefits.
- 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: Qmiles Triple: [Privilege Club, rewardCurrency, Qmiles]
Generated description
Qmiles are the frequent-flyer reward points earned and redeemed by members of Qatar Airways’ Privilege Club loyalty program.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Qmiles Target entity description: Qmiles are the frequent-flyer reward points earned and redeemed by members of Qatar Airways’ Privilege Club loyalty program.
-
A.
LifeMiles
LifeMiles is the frequent-flyer loyalty program of Avianca, allowing members to earn and redeem miles for flights and related travel benefits.
-
B.
ConnectMiles
ConnectMiles is the frequent-flyer loyalty program of Copa Airlines, allowing members to earn and redeem miles for flights and travel-related benefits.
-
C.
Lotusmiles
Lotusmiles is the frequent-flyer loyalty program of Vietnam Airlines, offering members mileage accrual and tiered benefits for their travel with the carrier and its partners.
-
D.
Miles&Go
Miles&Go is TAP Air Portugal’s loyalty program that allows members to earn and redeem miles for flights, upgrades, and other travel-related benefits.
-
E.
MilleMiglia
MilleMiglia is Alitalia’s former frequent-flyer loyalty program that rewarded passengers with miles redeemable for flights and travel benefits.
- 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.