Triple
T10773153
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grothendieck topology |
E254130
|
entity |
| Predicate | isAbstractionOf |
P19458
|
FINISHED |
| Object | notion of open set |
—
|
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: notion of open set | Statement: [Grothendieck topology, isAbstractionOf, notion of open set]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isAbstractionOf Context triple: [Grothendieck topology, isAbstractionOf, notion of open set]
-
A.
isAbstractVersionOf
chosen
Indicates that one entity represents a conceptual, generalized, or non-concrete version of another, more specific or concrete entity.
-
B.
subclassOf
Indicates that one class is a more specific type of another class, inheriting its characteristics as a subset of it.
-
C.
isImplementationOf
Indicates that one entity realizes, fulfills, or concretely carries out the specification, interface, or abstract definition provided by another entity.
-
D.
protégéOf
Indicates that one entity is mentored, trained, or guided in their development by another, more experienced entity.
-
E.
isModelOf
Indicates that one entity serves as a representation or abstraction that captures the structure or behavior of 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_69d6aa5f54f4819082d0bbcb6f8797e6 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d7329b27748190bd0e2569c7972fd1 |
completed | April 9, 2026, 5:01 a.m. |
| PD | Predicate disambiguation | batch_69d6f31455648190b5c24690487b1b54 |
completed | April 9, 2026, 12:30 a.m. |
Created at: April 8, 2026, 9:16 p.m.