Triple
T5152524
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United Express |
E116228
|
entity |
| Predicate | frequentFlyerProgram |
P178
|
FINISHED |
| Object | MileagePlus |
E47889
|
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: MileagePlus | Statement: [United Express, frequentFlyerProgram, MileagePlus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MileagePlus Context triple: [United Express, frequentFlyerProgram, MileagePlus]
-
A.
MileagePlus
chosen
MileagePlus is United Airlines’ loyalty program that rewards members with miles and elite benefits for flying and partner activity.
-
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.
ANA Mileage Club
ANA Mileage Club is the loyalty program of All Nippon Airways, offering members miles, elite status tiers, and travel-related rewards for flying and partner activities.
-
D.
Rapid Rewards
Rapid Rewards is Southwest Airlines’ frequent flyer loyalty program that lets members earn points on flights and redeem them for travel and other rewards.
-
E.
PhoenixMiles
PhoenixMiles is the loyalty and rewards program that allows Shenzhen Airlines passengers to earn and redeem miles for flights and related travel 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_69bd445d94788190b72e2cc563120995 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd78daab708190a42734a14dddb2fc |
completed | March 20, 2026, 4:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bed0099afc8190badca81bd5efb8f6 |
completed | March 21, 2026, 5:06 p.m. |
Created at: March 20, 2026, 1:44 p.m.