Triple
T9135202
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aeroplan |
E219182
|
entity |
| Predicate | formerName |
P65
|
FINISHED |
| Object | Aeroplan Miles |
E780588
|
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: Aeroplan Miles | Statement: [Aeroplan, formerName, Aeroplan Miles]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aeroplan Miles Context triple: [Aeroplan, formerName, Aeroplan Miles]
-
A.
Aeroplan points
chosen
Aeroplan points are the rewards currency of Air Canada’s Aeroplan loyalty program, redeemable for flights, upgrades, and other travel-related benefits.
-
B.
SkyMiles
SkyMiles is Delta Air Lines’ frequent flyer loyalty program that lets members earn and redeem miles for flights, upgrades, and other travel rewards.
-
C.
Avios
Avios is a travel rewards currency used by several major airlines and loyalty programs, allowing members to earn and redeem points for flights and related travel benefits.
-
D.
WestJet Rewards
WestJet Rewards is WestJet's frequent flyer loyalty program that lets members earn and redeem rewards such as flight credits, discounts, and travel benefits.
-
E.
Air Miles (in the UK market)
Air Miles was a popular UK travel rewards loyalty scheme that allowed members to collect points from everyday spending and redeem them for flights and other travel-related benefits.
- 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_69ca83e012288190a5771058adbaabd2 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca8de0dec8190978c80b9ec8bf25c |
completed | April 1, 2026, 5:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d05452acb481909fcf5f826caa6ae6 |
completed | April 3, 2026, 11:59 p.m. |
Created at: March 30, 2026, 7:18 p.m.