Triple
T5016041
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | App Store Small Business Program |
E112742
|
entity |
| Predicate | commissionAppliesTo |
P33016
|
FINISHED |
| Object | paid app purchases |
—
|
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: paid app purchases | Statement: [App Store Small Business Program, commissionAppliesTo, paid app purchases]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commissionAppliesTo Context triple: [App Store Small Business Program, commissionAppliesTo, paid app purchases]
-
A.
commissionType
Indicates the specific kind or category of commission arrangement that applies to a given transaction or relationship.
-
B.
commissionContext
chosen
Indicates the circumstances, conditions, or situational details under which a commission (such as a task, order, or assignment) is created, carried out, or applies between entities.
-
C.
commissionedBy
Indicates that one entity has been formally requested, authorized, or hired by another entity to create, perform, or carry out something.
-
D.
relatedCommission
Indicates that one commission is connected or associated with another commission in a relevant contextual or functional way.
-
E.
commissionsAs
Indicates that one entity formally authorizes or hires another entity to create, perform, or carry out a specific work, task, 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_69bd4434acb8819086679dbeccc2fe54 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd732f4c5c8190b90f8e4daab458ee |
completed | March 20, 2026, 4:17 p.m. |
| PD | Predicate disambiguation | batch_69bd714ecfe08190b5830cfc1c74fa17 |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:35 p.m.