Triple
T12322972
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amazon API Gateway |
E293766
|
entity |
| Predicate | supportsPricingModel |
P30777
|
FINISHED |
| Object | pay-as-you-go |
—
|
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: pay-as-you-go | Statement: [Amazon API Gateway, supportsPricingModel, pay-as-you-go]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsPricingModel Context triple: [Amazon API Gateway, supportsPricingModel, pay-as-you-go]
-
A.
offersPricingModel
chosen
Indicates that one entity provides or makes available a specific pricing model to another entity or for a particular offering.
-
B.
usesBillingModel
Indicates that one entity applies or operates under a particular billing model for charging or pricing purposes.
-
C.
supportsCodeRates
Indicates that one entity is capable of handling, processing, or operating at the specific code rates associated with another entity.
-
D.
supportsProduct
Indicates that one entity provides assistance, compatibility, or necessary resources for the operation, use, or maintenance of a specified product.
-
E.
supportsMonetizationProgram
Indicates that an entity enables or is compatible with a specific monetization program, allowing revenue-generating activities to occur.
- 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_69d6ab6ae0dc8190b1522a9c1c55c114 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f621570819091ee1db2609233ea |
completed | April 10, 2026, 6:20 p.m. |
| PD | Predicate disambiguation | batch_69d93ec5be788190b82d2edc6a0f1095 |
completed | April 10, 2026, 6:17 p.m. |
Created at: April 8, 2026, 9:53 p.m.