Triple
T16384808
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Whatizit |
E397893
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | text-mining web service |
C31576
|
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: text-mining web service Context triple: [Whatizit, instanceOf, text-mining web service]
-
A.
natural language understanding platform
A natural language understanding platform is a system that interprets, analyzes, and derives meaning from human language input to enable intelligent, context-aware interactions and automation.
-
B.
text processing utility
chosen
A text processing utility is a tool or component that analyzes, transforms, or extracts information from textual data to facilitate tasks such as formatting, parsing, searching, or data cleaning.
-
C.
natural language processing model
A natural language processing model is a computational system designed to understand, interpret, generate, and manipulate human language in a meaningful way.
-
D.
natural language processing technique
A natural language processing technique is a computational method or algorithm designed to enable computers to understand, interpret, generate, or manipulate human language in a meaningful way.
-
E.
documentation corpus
A documentation corpus is a structured collection of written materials, such as manuals, guides, and reference texts, compiled to provide comprehensive information and support for a specific domain, product, or system.
- 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_69d87f2880b48190ae1a9673a3bbef80 |
completed | April 10, 2026, 4:40 a.m. |
Created at: April 10, 2026, 5:08 a.m.