Triple
T10413770
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aegean Miles+Bonus Gold |
E245460
|
entity |
| Predicate | loyaltyProgram |
P178
|
FINISHED |
| Object | Miles+Bonus |
E299588
|
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: Miles+Bonus | Statement: [Aegean Miles+Bonus Gold, loyaltyProgram, Miles+Bonus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Miles+Bonus Context triple: [Aegean Miles+Bonus Gold, loyaltyProgram, Miles+Bonus]
-
A.
Miles+Bonus
chosen
Miles+Bonus is Aegean Airlines’ frequent flyer program that rewards members with miles, elite tiers, and travel benefits across Aegean and its partner airlines.
-
B.
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.
-
C.
Qmiles
Qmiles are the frequent-flyer reward points earned and redeemed by members of Qatar Airways’ Privilege Club loyalty program.
-
D.
Mabuhay Miles
Mabuhay Miles is the loyalty and rewards program of Philippine Airlines that allows members to earn and redeem miles for flights and related travel benefits.
-
E.
Dividend Miles
Dividend Miles was the frequent-flyer loyalty program of US Airways, allowing members to earn and redeem miles for flights, upgrades, and other travel-related rewards.
- 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_69d381be340c8190b05998703d42d224 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4ea0ec6fc8190a71af759226a3cba |
completed | April 7, 2026, 11:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7fc043074819083d219ec1c40f931 |
completed | April 9, 2026, 7:20 p.m. |
Created at: April 6, 2026, 12:10 p.m.