Triple
T6894189
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Garuda Indonesia |
E159127
|
entity |
| Predicate | frequentFlyerProgram |
P178
|
FINISHED |
| Object | GarudaMiles |
E159132
|
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: GarudaMiles | Statement: [Garuda Indonesia, frequentFlyerProgram, GarudaMiles]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GarudaMiles Context triple: [Garuda Indonesia, frequentFlyerProgram, GarudaMiles]
-
A.
GarudaMiles
chosen
GarudaMiles is the frequent-flyer loyalty program of Garuda Indonesia, offering members mileage accrual and redemption for flights and related travel 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.
HawaiianMiles
HawaiianMiles is the frequent-flyer loyalty program of Hawaiian Airlines, allowing members to earn and redeem miles for flights, upgrades, and other travel rewards.
-
D.
PhoenixMiles
PhoenixMiles is the loyalty and rewards program that allows Shenzhen Airlines passengers to earn and redeem miles for flights and related travel benefits.
-
E.
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.
- 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_69c6883568c8819081db6407e892cccc |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d931da24819096b9b205f2c0ebb0 |
completed | March 27, 2026, 7:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c748db2bd48190bb26f60c58ec8229 |
completed | March 28, 2026, 3:19 a.m. |
Created at: March 27, 2026, 2:24 p.m.