Triple
T5512403
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | On Nature |
E144595
|
entity |
| Predicate | modeOfArgument |
P5072
|
FINISHED |
| Object | strict deductive 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: strict deductive reasoning | Statement: [On Nature, modeOfArgument, strict deductive reasoning]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: modeOfArgument Context triple: [On Nature, modeOfArgument, strict deductive reasoning]
-
A.
modeType
Indicates the specific manner, method, or operational mode in which an action, process, or system is carried out or functions.
-
B.
argumentType
Indicates that one entity serves as a specific semantic or syntactic argument role (such as subject, object, or complement) in relation to another entity or event.
-
C.
mode
chosen
Indicates the manner, method, or way in which an action, process, or interaction is carried out or occurs.
-
D.
mainArgument
Indicates that one entity serves as the primary or central argument, claim, or point being made in relation to another entity (such as a text, speech, or discussion).
-
E.
commandOption
Indicates that one entity is a configurable command-line option or parameter associated with another command or executable.
- 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_69c008f77ff88190b0cd50ca207295d1 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01f581c5081909a8f6d4653edb125 |
completed | March 22, 2026, 4:56 p.m. |
| PD | Predicate disambiguation | batch_69c01b07bde08190b3933b96bdc70dd5 |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:33 p.m.