Triple
T17557276
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PEP 420 |
E427619
|
entity |
| Predicate | wasAcceptedFor |
P109154
|
FINISHED |
| Object | Python 3.3 import system |
—
|
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: Python 3.3 import system | Statement: [PEP 420, wasAcceptedFor, Python 3.3 import system]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasAcceptedFor Context triple: [PEP 420, wasAcceptedFor, Python 3.3 import system]
-
A.
acceptedFor
chosen
Indicates that one entity has been approved or admitted to receive, participate in, or be associated with another entity.
-
B.
acceptedIn
Indicates that something has been formally received, approved, or admitted into a particular context, group, or system.
-
C.
acceptedAt
Indicates the time or event at which something (such as a request, submission, or offer) is formally accepted.
-
D.
acceptedDueTo
Indicates that one entity is approved, admitted, or received as a result of another specific reason, condition, or cause.
-
E.
appliedFor
Indicates that an entity has submitted a request or application to another entity for a position, service, benefit, or opportunity.
- 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_69d889df6dc081908f67dbadc03c07ee |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4562413d08190acaa5272046d3626 |
completed | April 19, 2026, 4:12 a.m. |
| PD | Predicate disambiguation | batch_69e3b4fb39948190a82a597c5bac5c57 |
completed | April 18, 2026, 4:44 p.m. |
Created at: April 10, 2026, 5:50 a.m.