Triple
T27945987
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DataView |
E700879
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | schema-aware data structure |
C18774
|
CONCEPT FINISHED |
How this triple was built (1 step)
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: schema-aware data structure Context triple: [DataView, instanceOf, schema-aware data structure]
-
A.
data model
chosen
A data model is an abstract, structured representation of data and its relationships, designed to organize, define, and constrain how information is stored, accessed, and manipulated within a system.
-
B.
semantic framework
A semantic framework is a structured system of concepts, rules, and relationships used to define, interpret, and reason about meaning within a particular domain or language.
-
C.
structured matrix
A structured matrix is a matrix whose entries follow a specific pattern or rule (such as Toeplitz, circulant, or banded structure), enabling more efficient storage and computation than a general dense matrix.
-
D.
cryptographic data structure
A cryptographic data structure is a data organization that uses cryptographic primitives to ensure properties like integrity, authenticity, privacy, or verifiability of the stored or processed information.
-
E.
tree data structure
A tree data structure is a hierarchical collection of nodes connected by edges, with a single root node and zero or more child nodes per parent, used to represent parent-child relationships and enable efficient data organization and traversal.
- F. None of above.
Provenance (1 batch)
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_69ef6a5028108190a14696d9821dde49 |
completed | April 27, 2026, 1:53 p.m. |
Created at: April 27, 2026, 7:22 p.m.