Triple
T9582915
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | US Airways Express |
E231215
|
entity |
| Predicate | frequentFlyerProgram |
P178
|
FINISHED |
| Object | Dividend Miles |
E80714
|
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: Dividend Miles | Statement: [US Airways Express, frequentFlyerProgram, Dividend Miles]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dividend Miles Context triple: [US Airways Express, frequentFlyerProgram, Dividend Miles]
-
A.
Dividend Miles
chosen
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.
-
B.
Miles+Bonus
Miles+Bonus is Aegean Airlines’ frequent flyer program that rewards members with miles, elite tiers, and travel benefits across Aegean and its partner airlines.
-
C.
LifeMiles
LifeMiles is the frequent-flyer loyalty program of Avianca, allowing members to earn and redeem miles for flights and related travel benefits.
-
D.
Qmiles
Qmiles are the frequent-flyer reward points earned and redeemed by members of Qatar Airways’ Privilege Club loyalty program.
-
E.
Mileage Plan
Mileage Plan is Alaska Airlines’ loyalty program that rewards members with miles for flights and partner activities, redeemable for travel and other 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_69ca848161688190a68d514a0a9d5129 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd99cebaf081908033536a53fbf668 |
completed | April 1, 2026, 10:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d16176ccf081908eb079ddd762ba28 |
completed | April 4, 2026, 7:07 p.m. |
Created at: March 30, 2026, 8:05 p.m.