Triple
T1241527
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Unicode Character Database |
E26667
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | machine-readable data collection |
C7137
|
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: machine-readable data collection Context triple: [Unicode Character Database, instanceOf, machine-readable data collection]
-
A.
open data platform
An open data platform is a system that collects, manages, and publishes structured datasets with standardized formats and open access policies, enabling users to discover, download, and reuse data freely.
-
B.
interactive data tool
An interactive data tool is a software application that enables users to explore, manipulate, and visualize data dynamically through responsive, user-driven controls and interfaces.
-
C.
data sharing framework
A data sharing framework is a structured set of policies, standards, and technical mechanisms that governs how data is securely, ethically, and interoperably exchanged between parties.
-
D.
library cataloging tool
A library cataloging tool is a system that helps librarians and users organize, classify, and retrieve library materials efficiently through standardized metadata and search functions.
-
E.
data visualization platform
A data visualization platform is a software system that enables users to transform raw data into interactive, graphical representations to explore insights, identify patterns, and communicate information effectively.
- F. None of above. chosen
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_69a4948689d08190b3a4a3f388c02148 |
completed | March 1, 2026, 7:33 p.m. |
Created at: March 1, 2026, 7:47 p.m.