Triple
T4325167
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Python standard library |
E96619
|
entity |
| Predicate | includesModule |
P49317
|
FINISHED |
| Object | sys |
—
|
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: sys | Statement: [Python standard library, includesModule, sys]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesModule Context triple: [Python standard library, includesModule, sys]
-
A.
includesModuleProvider
Indicates that one entity contains or makes use of another entity that serves as a provider of a specific module or modular functionality.
-
B.
includesPackage
chosen
Indicates that one entity contains or comes bundled with a particular package as part of its composition or offering.
-
C.
supportsModule
Indicates that one entity provides compatibility, functionality, or resources necessary for another entity’s module to operate or be used.
-
D.
includeUses
Indicates that one entity incorporates or relies on another entity as a component, resource, or dependency in its use or operation.
-
E.
includesServiceFor
Indicates that one entity’s offering or package contains or covers a particular service provided for another entity.
- 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_69b34542fd908190b11b08faad8decfd |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3512ec18481908a7b5c29b3902b53 |
completed | March 12, 2026, 11:50 p.m. |
| PD | Predicate disambiguation | batch_69b34f4bec888190987fc2631498b637 |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:13 p.m.