Triple
T18050781
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | collections |
E431920
|
entity |
| Predicate | includesSubmodule |
P129618
|
FINISHED |
| Object | collections.abc |
—
|
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: collections.abc | Statement: [collections, includesSubmodule, collections.abc]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesSubmodule Context triple: [collections, includesSubmodule, collections.abc]
-
A.
hasSubproject
Indicates that a project includes another project as a subordinate or component part within its overall structure.
-
B.
includesModuleProvider
Indicates that one entity contains or makes use of another entity that serves as a provider of a specific module or modular functionality.
-
C.
includesPackage
Indicates that one entity contains or comes bundled with a particular package as part of its composition or offering.
-
D.
includesSuborder
Indicates that one entity contains or encompasses another entity as a subordinate order within its hierarchical structure.
-
E.
hasSubcomponent
Indicates that one entity is a constituent part or component of another, larger entity.
- 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_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. |
| PDg | Predicate description generation | batch_69e42d8eefa88190a700c7c1b4213e46 |
completed | April 19, 2026, 1:19 a.m. |
Created at: April 10, 2026, 10:25 a.m.