Triple
T18204334
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | XLNet |
E435866
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | permutation language model |
C25414
|
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: permutation language model Context triple: [XLNet, instanceOf, permutation language model]
-
A.
natural language processing model
chosen
A natural language processing model is a computational system designed to understand, interpret, generate, and manipulate human language in a meaningful way.
-
B.
linguistic alignment pattern
A linguistic alignment pattern is the systematic way a language organizes and marks the grammatical roles of participants in events, such as subjects, objects, and agents, across its clause structures.
-
C.
linguistic alignment pattern
A linguistic alignment pattern is a systematic way in which a language organizes and marks the grammatical roles of participants in events (such as subjects, objects, and agents) across its morphology and syntax.
-
D.
framework in generative grammar
A framework in generative grammar is a theoretical system of principles and formal mechanisms used to model and explain the innate structure and rules underlying human language.
-
E.
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.
- 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_69d8b90dba6481908e119eb9aa4ca0cb |
completed | April 10, 2026, 8:47 a.m. |
Created at: April 10, 2026, 10:32 a.m.