Triple
T1543520
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rapid Rewards |
E32923
|
entity |
| Predicate | baggagePolicyBenefit |
P2188
|
FINISHED |
| Object | two free checked bags on Southwest Airlines flights |
—
|
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: two free checked bags on Southwest Airlines flights | Statement: [Rapid Rewards, baggagePolicyBenefit, two free checked bags on Southwest Airlines flights]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: baggagePolicyBenefit Context triple: [Rapid Rewards, baggagePolicyBenefit, two free checked bags on Southwest Airlines flights]
-
A.
baggagePolicySetBy
Indicates that a specific baggage policy is determined, defined, or controlled by a particular entity (such as an airline or service provider).
-
B.
farePolicySupport
Indicates that there is a policy in place governing fares (such as prices, discounts, or rules) that is recognized, enabled, or supported in the given context.
-
C.
hasBenefit
chosen
Indicates that one entity provides an advantage, improvement, or positive outcome to another entity.
-
D.
exclusiveBenefit
Indicates that a benefit is provided to one party or group in a way that excludes others from receiving the same advantage.
-
E.
fareDiscount
Indicates that a reduced price is applied to a standard fare for a product or service.
- 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.