Triple
T10414042
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TACA LifeMiles Gold |
E245470
|
entity |
| Predicate | loyaltyProgram |
P178
|
FINISHED |
| Object | LifeMiles |
E265994
|
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: LifeMiles | Statement: [TACA LifeMiles Gold, loyaltyProgram, LifeMiles]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LifeMiles Context triple: [TACA LifeMiles Gold, loyaltyProgram, LifeMiles]
-
A.
LifeMiles
chosen
LifeMiles is the frequent-flyer loyalty program of Avianca, allowing members to earn and redeem miles for flights and related travel benefits.
-
B.
Qmiles
Qmiles are the frequent-flyer reward points earned and redeemed by members of Qatar Airways’ Privilege Club loyalty program.
-
C.
Frontier miles
Frontier miles are the frequent-flyer reward points earned and redeemed through Frontier Airlines’ loyalty program for flights and related travel benefits.
-
D.
Eastern Miles points
Eastern Miles points are the frequent flyer reward currency earned and redeemed by members of China Eastern Airlines’ loyalty program for flights and related services.
-
E.
ConnectMiles
ConnectMiles is the frequent-flyer loyalty program of Copa Airlines, allowing members to earn and redeem miles for flights and 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_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.