Triple
T16854527
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amazon Ads |
E409750
|
entity |
| Predicate | supportsBiddingModel |
P19966
|
FINISHED |
| Object | cost-per-click |
—
|
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: cost-per-click | Statement: [Amazon Ads, supportsBiddingModel, cost-per-click]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsBiddingModel Context triple: [Amazon Ads, supportsBiddingModel, cost-per-click]
-
A.
supportsContributionModel
Indicates that one entity enables or is compatible with a particular model or framework for making contributions (such as donations, content, or resources).
-
B.
supportsAskToBuy
Indicates that one entity enables or authorizes another entity to use an "Ask to Buy" approval process for purchases or requests.
-
C.
supportsMonetizationProgram
Indicates that an entity enables or is compatible with a specific monetization program, allowing revenue-generating activities to occur.
-
D.
supportsModelType
chosen
Indicates that an entity is compatible with, or can operate using, a specified model type.
-
E.
supportsCrossBuy
Indicates that a purchase made on one platform or device grants access to the same item on other supported platforms or devices without requiring an additional purchase.
- 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_69d88395e6c88190b22730f335107c14 |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b37c6e808190975b14b228253029 |
completed | April 18, 2026, 4:38 p.m. |
| PD | Predicate disambiguation | batch_69e32b8cbb048190878a259cc5be960e |
completed | April 18, 2026, 6:58 a.m. |
Created at: April 10, 2026, 5:24 a.m.