Triple
T33028564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Directory Information Tree |
E845104
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | hierarchical data model |
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: hierarchical data model Context triple: [Directory Information Tree, instanceOf, hierarchical data model]
-
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.
hierarchical scheme
A hierarchical scheme is an organized structure in which elements are arranged in multiple levels of increasing or decreasing rank, importance, or inclusiveness, with each level subordinate to the one above it.
-
C.
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.
-
D.
bibliographic data model
A bibliographic data model is a structured framework that defines how information about published and unpublished resources (such as books, articles, and digital media) is represented, organized, and related for purposes of description, discovery, and management.
-
E.
cumulative hierarchy
The cumulative hierarchy is a conceptual model of the set-theoretic universe built in transfinite stages, where each level consists of all sets that can be formed from the sets at earlier levels.
- 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_69f34950749c8190ae05cd27adb16d58 |
completed | April 30, 2026, 12:21 p.m. |
Created at: May 1, 2026, 1:23 a.m.