Triple
T25851844
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Method |
E651230
|
entity |
| Predicate | typeOfReasoning |
P130616
|
FINISHED |
| Object | heuristic mechanical reasoning |
—
|
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: heuristic mechanical reasoning | Statement: [The Method, typeOfReasoning, heuristic mechanical reasoning]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfReasoning Context triple: [The Method, typeOfReasoning, heuristic mechanical reasoning]
-
A.
reasoningType
chosen
Indicates the specific kind or mode of reasoning applied in deriving a conclusion or making an inference between entities.
-
B.
usesReasoningStyle
Indicates that one entity employs or adopts a particular style or method of reasoning in its thinking or decision-making processes.
-
C.
hasReasoningComplexity
Indicates that an action, process, or decision involves a certain level or type of cognitive or logical complexity in its reasoning.
-
D.
hasReasoningTask
Indicates that an entity is associated with, assigned, or involved in a reasoning-related task or activity.
-
E.
canReasonAbout
Indicates that one entity has the capability to understand, analyze, or draw inferences about another entity or subject.
- F. None of above.
Provenance (3 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_69e7ab39035c8190be15c8aaee1bb858 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f7805ce6208190ac6dbd9c97989978 |
completed | May 3, 2026, 5:05 p.m. |
| PD | Predicate disambiguation | batch_69f77956ec648190ba4fb7e9d83fd107 |
completed | May 3, 2026, 4:35 p.m. |
Created at: April 22, 2026, 7:58 a.m.