Triple
T18050696
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | urllib |
E431919
|
entity |
| Predicate | containsSubmodule |
P25619
|
FINISHED |
| Object | urllib.request |
—
|
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: urllib.request | Statement: [urllib, containsSubmodule, urllib.request]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsSubmodule Context triple: [urllib, containsSubmodule, urllib.request]
-
A.
hasSubproject
Indicates that a project includes another project as a subordinate or component part within its overall structure.
-
B.
hasSubcomponent
chosen
Indicates that one entity is a constituent part or component of another, larger entity.
-
C.
hasSisterSubsystem
Indicates that one subsystem is related to another as a sister subsystem, meaning they share a common parent system or hierarchical level.
-
D.
containsAsSubstructure
Indicates that one structure includes another structure entirely within it as a component or embedded part.
-
E.
hasSubconfiguration
Indicates that an entity includes another entity as a subordinate or component configuration within its overall structure.
- 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_69d8b906482481908183315b9ecf9994 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4bff57ea08190a30a87993f7d3299 |
completed | April 19, 2026, 11:43 a.m. |
| PD | Predicate disambiguation | batch_69e3f908da508190a088aa837ea5b7af |
completed | April 18, 2026, 9:35 p.m. |
Created at: April 10, 2026, 10:25 a.m.