Triple
T16430720
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amazon Web Services Open Data |
E399063
|
entity |
| Predicate | userPaysFor |
P5902
|
FINISHED |
| Object | compute used to process data |
—
|
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: compute used to process data | Statement: [Amazon Web Services Open Data, userPaysFor, compute used to process data]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: userPaysFor Context triple: [Amazon Web Services Open Data, userPaysFor, compute used to process data]
-
A.
pointsPaying
Indicates that one entity is paying or settling an obligation to another entity using points (such as reward or loyalty points) as the form of payment.
-
B.
paidBy
Indicates that a payment or financial obligation is made or settled by the specified entity.
-
C.
coversCosts
Indicates that one party assumes responsibility for paying or reimbursing the expenses incurred by another party.
-
D.
costToUser
chosen
Indicates the amount of cost or expense that is borne by, charged to, or incurred by the user.
-
E.
paidFor
Indicates that one entity provided payment to cover the cost of something on behalf of another entity.
- 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_69d87f2b9024819085c20e52de95d583 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e328fe0f488190ac34aa677c980a20 |
completed | April 18, 2026, 6:47 a.m. |
| PD | Predicate disambiguation | batch_69e22701d2288190bf8676050758f172 |
completed | April 17, 2026, 12:26 p.m. |
Created at: April 10, 2026, 5:10 a.m.