Triple
T28792563
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Multiple Spell-Out model of syntax |
E726993
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | model of the syntax–semantics interface |
C1146
|
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: model of the syntax–semantics interface Context triple: [Multiple Spell-Out model of syntax, instanceOf, model of the syntax–semantics interface]
-
A.
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.
-
B.
theory of predication
The theory of predication is a philosophical account of how properties, relations, or attributes are meaningfully ascribed to subjects in propositions, explaining the structure and truth-conditions of statements like “S is P.”
-
C.
linguistic theory
chosen
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.
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.
-
E.
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.
- 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_69f0319aabec81908368720196f69a35 |
completed | April 28, 2026, 4:03 a.m. |
Created at: April 28, 2026, 6:24 a.m.