Triple
T37035402
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PEP 647 |
E916620
|
entity |
| Predicate | relatesToLanguage |
—
|
GENERATED |
| Object | Python |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relatesToLanguage Context triple: [PEP 647, relatesToLanguage, Python]
-
A.
linkedToLanguage
chosen
Indicates that an entity has an association or connection with a specific language, such as being expressed in, related to, or dependent on that language.
-
B.
hasRelatedLanguage
Indicates that one language is related to another through shared linguistic origins, features, or classification.
-
C.
linguisticallyRelatedTo
Indicates that two entities are connected through a linguistic relationship, such as sharing a common language, origin, structure, or other language-based association.
-
D.
reflectsLanguage
Indicates that one entity expresses, embodies, or reveals the language or linguistic characteristics associated with another entity.
-
E.
refersToLanguageSpokenIn
Indicates that one entity designates or mentions the language that is spoken in another entity (such as a place or region).
- F. None of above.
Provenance (1 batch)
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_69f76e93ec4c8190be81cf87354d9155 |
completed | May 3, 2026, 3:49 p.m. |
Created at: May 3, 2026, 4:14 p.m.