Triple
T5007261
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kanada |
E112526
|
entity |
| Predicate | epistemologyView |
P16769
|
FINISHED |
| Object | knowledge arises from perception and inference |
—
|
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: knowledge arises from perception and inference | Statement: [Kanada, epistemologyView, knowledge arises from perception and inference]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: epistemologyView Context triple: [Kanada, epistemologyView, knowledge arises from perception and inference]
-
A.
viewOnKnowledge
chosen
Indicates the perspective, stance, or opinion one entity holds regarding another entity’s knowledge or understanding.
-
B.
epistemicStatus
Indicates the degree of certainty, justification, or knowledge an agent has regarding a particular proposition or claim.
-
C.
epistemicAttitude
Indicates the type or stance of a subject’s knowledge, belief, or certainty toward a proposition or statement.
-
D.
worldview
Indicates the overarching perspective or framework through which an entity interprets and understands the world and its experiences.
-
E.
epistemicRole
Indicates the role an entity plays in a knowledge-related context, such as being a knower, source, or bearer of information or belief.
- 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_69bd4433d0b08190877e83959ef40d81 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd730a7590819088ab8d49c5c88c2f |
completed | March 20, 2026, 4:17 p.m. |
| PD | Predicate disambiguation | batch_69bd714cbc448190aa53a8a83d768b64 |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:35 p.m.