Triple
T21277612
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SO(n) |
E524430
|
entity |
| Predicate | isKernelOf |
P32776
|
FINISHED |
| Object | determinant map from O(n) to {±1} |
—
|
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: determinant map from O(n) to {±1} | Statement: [SO(n), isKernelOf, determinant map from O(n) to {±1}]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isKernelOf
Context triple: [SO(n), isKernelOf, determinant map from O(n) to {±1}]
-
A.
hasKernel
chosen
Indicates that one entity functions as the kernel (core or central component) of another entity.
-
B.
primaryKernelType
Indicates that one entity is the main or default kernel type associated with another entity.
-
C.
isRootOf
Indicates that one entity is the root or origin point from which another entity directly or indirectly descends or is derived.
-
D.
isNucleusOf
Indicates that one entity functions as the central or most important core component of another entity.
-
E.
hasKernelType
Indicates that an entity possesses or is associated with a specific type or classification of kernel.
- 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_69e0b516293c819089458ea2ec85f85e |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e736583c08819087a4726538e703e2 |
completed | April 21, 2026, 8:33 a.m. |
| PD | Predicate disambiguation | batch_69e5f6161dac8190b06009cd180e3ff7 |
completed | April 20, 2026, 9:47 a.m. |
Created at: April 16, 2026, 4:02 p.m.