Triple
T34154985
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beilinson spectral sequence |
E876107
|
entity |
| Predicate | categoryTheoreticContext |
P160141
|
FINISHED |
| Object | triangulated categories |
—
|
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: triangulated categories | Statement: [Beilinson spectral sequence, categoryTheoreticContext, triangulated categories]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: categoryTheoreticContext Context triple: [Beilinson spectral sequence, categoryTheoreticContext, triangulated categories]
-
A.
categoryOfSheavesOn
Indicates that one entity is the category whose objects are sheaves defined on the other entity (typically a space or site).
-
B.
categorifies
chosen
Indicates that one entity provides a higher-level, category-theoretic abstraction or refinement of the structure or behavior of another entity.
-
C.
categorifiedBy
Indicates that something is assigned to or placed within a specific category by another entity.
-
D.
topologicalCategory
Indicates a classification relationship where something is categorized based on its topological properties or structure.
-
E.
canonicalContext
Indicates the standard or primary contextual framework within which an entity, statement, or resource is to be interpreted.
- 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_69f349abaa508190a820f206620efddc |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f71362f1448190985a80ce7af475cb |
completed | May 3, 2026, 9:20 a.m. |
| PD | Predicate disambiguation | batch_69f7127884388190884f23d181a65d19 |
completed | May 3, 2026, 9:16 a.m. |
Created at: May 1, 2026, 1:54 a.m.