Triple
T17676419
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SparseMatrixCSC |
E440652
|
entity |
| Predicate | columnIndexing |
P45081
|
FINISHED |
| Object | 1-based |
—
|
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: 1-based | Statement: [SparseMatrixCSC, columnIndexing, 1-based]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: columnIndexing Context triple: [SparseMatrixCSC, columnIndexing, 1-based]
-
A.
columnOrder
Indicates the relative sequencing or arrangement of columns within a structured layout or dataset.
-
B.
coreIndex
Indicates the position or identifier of an entity within a central or primary ordered structure (its core sequence or index).
-
C.
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.
-
D.
columnOrderUsed
chosen
Indicates that a specific ordering of columns is applied or relied upon in a given context or operation.
-
E.
indexType
Indicates the classification or category of an index associated with an entity or structure.
- 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_69d8b9e940b081908b862bb0e6e89b0d |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e46f6d9ab88190ab0e25eac8b0101c |
completed | April 19, 2026, 6 a.m. |
| PD | Predicate disambiguation | batch_69e3cde007d8819090dd92eea9f022cc |
completed | April 18, 2026, 6:30 p.m. |
Created at: April 10, 2026, 10:01 a.m.