Triple
T5094824
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Glossary with some pieces of verse of the old dialect of the English colony in the baronies of Forth and Bargy in the County of Wexford |
E114840
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | linguistic study |
C3340
|
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: linguistic study Context triple: [A Glossary with some pieces of verse of the old dialect of the English colony in the baronies of Forth and Bargy in the County of Wexford, instanceOf, linguistic study]
-
A.
subject of linguistic study
The subject of linguistic study is any natural language or its components—such as sounds, words, sentences, and meanings—that linguists systematically analyze to understand structure, use, and change.
-
B.
linguistic work
chosen
A linguistic work is a created artifact—such as a text, speech, or signed performance—whose primary purpose is to convey meaning through a structured natural or formal language.
-
C.
linguistic theory
Linguistic theory is the systematic study and modeling of the structure, use, and acquisition of language, aiming to explain how languages are organized, processed, and understood.
-
D.
linguistics journal
A linguistics journal is a periodical publication that presents peer-reviewed research articles, reviews, and scholarly discussions on the scientific study of language and its structure, use, and development.
-
E.
linguistic phenomenon
A linguistic phenomenon is any observable pattern, behavior, or feature in language use or structure that can be systematically described and analyzed.
- 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_69bd443fc49c819089629c00e311310c |
completed | March 20, 2026, 12:57 p.m. |
Created at: March 20, 2026, 1:40 p.m.