Triple
T1543411
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wanna Get Away |
E32921
|
entity |
| Predicate | pointsEarningRate |
P9554
|
FINISHED |
| Object | lower points earning per dollar than Anytime fares |
—
|
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: lower points earning per dollar than Anytime fares | Statement: [Wanna Get Away, pointsEarningRate, lower points earning per dollar than Anytime fares]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pointsEarningRate Context triple: [Wanna Get Away, pointsEarningRate, lower points earning per dollar than Anytime fares]
-
A.
loyaltyProgramEarnings
chosen
Indicates the amount or details of rewards or benefits a participant accrues within a loyalty or rewards program.
-
B.
awardedFrequency
Indicates how often an award or recognition is given within a specified time period.
-
C.
creditPercentage
Indicates the proportion or share of credit assigned to an entity in relation to a particular outcome, contribution, or transaction.
-
D.
winnerPoints
Indicates the number of points earned by the winning participant or entity in a competition or event.
-
E.
dataRate
Indicates the rate at which data is transmitted, processed, or transferred between entities over a given time interval.
- 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_69a885ed29088190a3c2d5a3d100c16e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa95c1a2948190a2b98469afec1a7d |
completed | March 6, 2026, 8:52 a.m. |
| PD | Predicate disambiguation | batch_69a907b2453c8190a41f6b88c8217d1e |
completed | March 5, 2026, 4:33 a.m. |
Created at: March 4, 2026, 7:26 p.m.