Triple
T28792562
| 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–phonology interface |
C1147
|
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–phonology interface Context triple: [Multiple Spell-Out model of syntax, instanceOf, model of the syntax–phonology interface]
-
A.
framework in generative grammar
chosen
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.
phonological representation
A phonological representation is an abstract mental encoding of the sound structure of words, specifying distinctive features, segments, and their organization without reference to their physical articulation or acoustic realization.
-
C.
phonological system
A phonological system is the organized set of sounds and sound patterns in a language, along with the rules governing their combination and pronunciation.
-
D.
phonology paper
A phonology paper is a scholarly work that investigates the sound systems of languages, analyzing patterns of speech sounds, their organization, and the rules governing their distribution and variation.
-
E.
Niger-Congo language reference system
A Niger-Congo language reference system is a structured framework for cataloging, describing, and cross-referencing the languages of the Niger-Congo family, including their classifications, features, and relationships.
- 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.