Triple
T6833180
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jacobi method |
E157386
|
entity |
| Predicate | matrixDecomposition |
P42358
|
FINISHED |
| Object | A = D - L - U |
—
|
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: A = D - L - U | Statement: [Jacobi method, matrixDecomposition, A = D - L - U]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: matrixDecomposition Context triple: [Jacobi method, matrixDecomposition, A = D - L - U]
-
A.
yieldsDecomposition
chosen
Indicates that one entity produces or results in a particular breakdown or decomposition of another entity.
-
B.
numericDecomposition
Indicates that a number is broken down into a set of component numbers or factors whose combination (e.g., sum or product) reconstructs the original value.
-
C.
decompositionType
Indicates the specific way in which a whole is broken down into its constituent parts or components.
-
D.
typicalRank
Indicates the usual or most common rank or position an entity holds within a given ordering or hierarchy.
-
E.
typicalRankRange
Indicates the usual or most common range of ranks or ordered positions that an entity typically occupies within a ranking or hierarchy.
- 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_69c6882c53608190b99aebef079b23bd |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d62b1e8c8190a81d91191a54b073 |
completed | March 27, 2026, 7:10 p.m. |
| PD | Predicate disambiguation | batch_69c6d09d95f0819091ca7f897dc21efe |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:18 p.m.