Triple
T5212189
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Weyl algebra |
E117658
|
entity |
| Predicate | hasModuleCategory |
P15481
|
FINISHED |
| Object | category of D-modules on affine space |
—
|
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: category of D-modules on affine space | Statement: [Weyl algebra, hasModuleCategory, category of D-modules on affine space]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasModuleCategory Context triple: [Weyl algebra, hasModuleCategory, category of D-modules on affine space]
-
A.
hasSupportCategory
Indicates that an entity is associated with a particular type or category of support it receives or provides.
-
B.
hasCategoryOn
chosen
Indicates that something is assigned to or associated with a specific category within a given context or scope.
-
C.
hasCategoryGroup
Indicates that something is associated with, or belongs to, a broader grouping of related categories.
-
D.
hasProgramCategory
Indicates that a program is classified under a specific category or type of program.
-
E.
hasCommonsCategory
Indicates that an entity is associated with a specific category on Wikimedia Commons where related media files are grouped.
- 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_69bd4464ba3c8190bc16b2ebbe42ddb0 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7a730e6c8190ae6082da41ee592a |
completed | March 20, 2026, 4:48 p.m. |
| PD | Predicate disambiguation | batch_69bd77bb4e8c819094b5ac7cf61512f9 |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:47 p.m.