Triple
T29314036
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hammett equation |
E743329
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | linear free-energy relationship |
C54813
|
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: linear free-energy relationship Context triple: [Hammett equation, instanceOf, linear free-energy relationship]
-
A.
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.
-
B.
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.
-
C.
Fairlight CMI model
A Fairlight CMI model is a conceptual representation of the pioneering digital sampling synthesizer system, encapsulating its hardware components, sound sampling and synthesis capabilities, user interface, and role in music production workflows.
-
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. chosen
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_69f0912502c8819087d9e8398ee991a8 |
completed | April 28, 2026, 10:51 a.m. |
Created at: April 28, 2026, 1:18 p.m.