Triple
T2321050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PEP 572 |
E51179
|
entity |
| Predicate | pepUrl |
P6055
|
FINISHED |
| Object | https://peps.python.org/pep-0572/ |
—
|
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: https://peps.python.org/pep-0572/ | Statement: [PEP 572, pepUrl, https://peps.python.org/pep-0572/]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pepUrl Context triple: [PEP 572, pepUrl, https://peps.python.org/pep-0572/]
-
A.
PSE
Indicates a relationship where one entity is engaged in or associated with a public service or public sector employment role relative to another entity or context.
-
B.
EP
Indicates a relationship where one entity is an executive producer (EP) of another entity, typically bearing primary production responsibility or credit.
-
C.
accessURL
chosen
Indicates the web address or endpoint through which a resource can be accessed or retrieved.
-
D.
educationProxy
Indicates that one entity serves as a stand-in or representative for another entity in matters related to education or educational status.
-
E.
par
Indicates that two entities are parallel to each other in space or direction.
- 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_69a88b074b908190ae983dbca7757d88 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc685f05481909c863b29d1f6bacd |
completed | March 7, 2026, 6:32 a.m. |
| PD | Predicate disambiguation | batch_69abc5909cc48190aab257313542dc49 |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 4, 2026, 7:49 p.m.