Triple
T32563142
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frontier Miles |
E832280
|
entity |
| Predicate | redemptionPricingModel |
P163428
|
FINISHED |
| Object | dynamic pricing |
—
|
LITERAL 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: dynamic pricing | Statement: [Frontier Miles, redemptionPricingModel, dynamic pricing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: redemptionPricingModel Context triple: [Frontier Miles, redemptionPricingModel, dynamic pricing]
-
A.
redemptionModel
chosen
Indicates a relationship where one entity specifies or uses a particular model, method, or scheme for redeeming another entity (such as points, vouchers, or obligations).
-
B.
redemptionType
Indicates the manner or method by which something (such as a benefit, reward, or obligation) can be redeemed or fulfilled.
-
C.
redemptionRate
Indicates the proportion or frequency at which something (such as points, coupons, or investments) is redeemed relative to the total available or issued.
-
D.
redemptionOptions
Indicates the ways or methods by which something (such as points, credits, or vouchers) can be redeemed or exchanged for value.
-
E.
redemptionFrequency
Indicates how often a redemption action or event occurs within a given time period.
- F. None of above.
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_69f34926b9848190ace47d2dd0a0de7c |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c609f1c08190830b42dc4df5ab8d |
completed | May 3, 2026, 3:50 a.m. |
| PD | Predicate disambiguation | batch_69f6bd2a14b081908162923dfbf0a6f4 |
completed | May 3, 2026, 3:12 a.m. |
Created at: May 1, 2026, 1:03 a.m.