Triple
T6833175
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jacobi method |
E157386
|
entity |
| Predicate | iterationIndex |
P25594
|
FINISHED |
| Object | k denotes the iteration number |
—
|
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: k denotes the iteration number | Statement: [Jacobi method, iterationIndex, k denotes the iteration number]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: iterationIndex Context triple: [Jacobi method, iterationIndex, k denotes the iteration number]
-
A.
indexSize
Indicates the size or magnitude of an index associated with an entity, such as its length, capacity, or storage footprint.
-
B.
indexType
Indicates the classification or category of an index associated with an entity or structure.
-
C.
associatedIndex
Indicates that one entity is linked to another through a corresponding index or positional reference.
-
D.
indexStructure
Indicates that one entity serves as an index or organizational framework that structures, arranges, or provides access to another entity or set of entities.
-
E.
repetitionCount
chosen
Indicates the number of times a particular event, action, or pattern is repeated within a given context.
- 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.