Triple
T10818164
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PEP 635 |
E255288
|
entity |
| Predicate | introducedInPythonVersion |
P11235
|
FINISHED |
| Object | 3.10 |
—
|
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: 3.10 | Statement: [PEP 635, introducedInPythonVersion, 3.10]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: introducedInPythonVersion Context triple: [PEP 635, introducedInPythonVersion, 3.10]
-
A.
introducedWithVersion
chosen
Indicates that something first became available or was added starting from a specific version.
-
B.
introducedInYear
Indicates the year in which something was first introduced, launched, or made available.
-
C.
introducedFrom
Indicates that one entity was brought, originated, or caused to appear in a context, system, or environment by another entity.
-
D.
introducedInSystem
Indicates that an entity was first added, implemented, or made available within a particular system.
-
E.
introducedInProduct
Indicates that something (such as a feature, component, or concept) first appeared or was initially made available within a particular product.
- 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_69d6aa8081448190a9324184f2bd1c26 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7344866f88190be4addb7c8020fce |
completed | April 9, 2026, 5:08 a.m. |
| PD | Predicate disambiguation | batch_69d70d1bf3648190b36fa96ea018e0dc |
completed | April 9, 2026, 2:21 a.m. |
Created at: April 8, 2026, 9:18 p.m.