Triple
T17522156
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PEP 425 platform compatibility tags |
E426699
|
entity |
| Predicate | purePythonTag |
P127790
|
FINISHED |
| Object | py3-none-any |
—
|
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: py3-none-any | Statement: [PEP 425 platform compatibility tags, purePythonTag, py3-none-any]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: purePythonTag Context triple: [PEP 425 platform compatibility tags, purePythonTag, py3-none-any]
-
A.
pupTagSymbol
Indicates a symbolic tag or label associated with a pup, marking or identifying it within a system or context.
-
B.
PythonDescribedAs
Indicates that one entity is characterized, portrayed, or explained using the programming language Python.
-
C.
hasTaggingSystem
Indicates that an entity is associated with or supports a system for assigning and managing tags or labels.
-
D.
pylonType
Indicates the specific structural or functional category that a pylon belongs to within a given context.
-
E.
interpreter
Indicates that one entity serves to translate or render the meaning of another entity (such as language, code, or symbols) into an understandable or executable form.
- 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_69d889de677081909b22d2657b1f0292 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e452d2f79881909556894728e255ab |
completed | April 19, 2026, 3:58 a.m. |
| PD | Predicate disambiguation | batch_69e3b4f8b9888190aa8a45e09acf4319 |
completed | April 18, 2026, 4:44 p.m. |
| PDg | Predicate description generation | batch_69e3bbb37d148190b7f38599c06594ee |
completed | April 18, 2026, 5:13 p.m. |
Created at: April 10, 2026, 5:49 a.m.