Triple
T10991067
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reduce |
E259753
|
entity |
| Predicate | supportsSymbolicMatrices |
P5735
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Reduce, supportsSymbolicMatrices, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsSymbolicMatrices Context triple: [Reduce, supportsSymbolicMatrices, true]
-
A.
hasMatrixOperations
chosen
Indicates that an entity supports or provides functionality for performing matrix-related operations.
-
B.
hasSymbolicForm
Indicates that one entity serves as the symbolic representation or abstract form of another entity.
-
C.
supportsEquations
Indicates that one entity provides the capability to handle, display, or work with mathematical equations for another entity or within a given context.
-
D.
numberOfIndependentMatrices
Indicates the count of matrices in a set that are linearly independent from each other.
-
E.
isSymmetric
Indicates that a relationship holds in both directions between two entities, so if it applies from A to B, it also applies from B to A.
- 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_69d6aa8a6a548190a750f944ccdc8064 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d787b8d7088190b7d6b63c3bac4ad1 |
completed | April 9, 2026, 11:04 a.m. |
| PD | Predicate disambiguation | batch_69d72e9055908190b438f039574aaaaf |
completed | April 9, 2026, 4:44 a.m. |
Created at: April 8, 2026, 9:24 p.m.