Triple
T955968
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | App Store |
E20626
|
entity |
| Predicate | paymentSystem |
P21821
|
FINISHED |
| Object | Apple payment processing |
—
|
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: Apple payment processing | Statement: [App Store, paymentSystem, Apple payment processing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: paymentSystem Context triple: [App Store, paymentSystem, Apple payment processing]
-
A.
paymentMethod
Indicates the means or instrument through which a payment is made in a transaction.
-
B.
paymentEnvironment
Indicates the context or setting in which a payment is initiated, processed, or completed (such as online, in-store, or in-app).
-
C.
settlementSystem
Indicates a relationship where a settlement is organized, governed, or structured according to a particular administrative or territorial system.
-
D.
paymentNetworkRole
Indicates the specific function or responsibility an entity has within a payment network (such as issuer, acquirer, or processor).
-
E.
pays
Indicates that one entity gives money or another form of compensation to another entity, typically in exchange for goods, services, or to settle a debt.
- F. None of above. chosen
Provenance (4 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_69a493b21f2881908132dcf45dcd2f36 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b3f981bc819098125554eeeb6375 |
completed | March 1, 2026, 9:47 p.m. |
| PD | Predicate disambiguation | batch_69a4b2a18ecc8190883f6206fe3b0fb6 |
completed | March 1, 2026, 9:41 p.m. |
| PDg | Predicate description generation | batch_69a4b326d9d88190913c1a892a795707 |
completed | March 1, 2026, 9:44 p.m. |
Created at: March 1, 2026, 7:40 p.m.