Triple
T13455459
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toulmin model of argumentation |
E311218
|
entity |
| Predicate | componentDefinition_data |
P109572
|
FINISHED |
| Object | facts or evidence used to support the claim |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
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.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: facts or evidence used to support the claim | Statement: [Toulmin model of argumentation, componentDefinition_data, facts or evidence used to support the claim]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: componentDefinition_data Context triple: [Toulmin model of argumentation, componentDefinition_data, facts or evidence used to support the claim]
-
A.
componentsDefinition
Indicates that one entity defines or specifies the components that make up another entity.
-
B.
coreDefinition
Indicates the fundamental, central meaning or essence that defines something at its most basic level.
-
C.
componentType
Indicates that one entity specifies or classifies the kind or category of component that another entity represents or uses.
-
D.
dataModel
Indicates a relationship where an entity defines, uses, or is structured according to a specific data model or schema.
-
E.
component1
Indicates that one entity functions as a constituent or part of another entity within a larger whole.
- F. None of above. chosen
Provenance (4 batches)
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_69d806a938b8819097ec43a2229fc7f9 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaefc52448190b30d7999f44a9765 |
completed | April 12, 2026, 2:41 p.m. |
| PD | Predicate disambiguation | batch_69d9a03ce03481908c61094f0cc0c158 |
completed | April 11, 2026, 1:13 a.m. |
| PDg | Predicate description generation | batch_69dadce235f88190a6433395d2969811 |
completed | April 11, 2026, 11:44 p.m. |
Created at: April 9, 2026, 9:41 p.m.