Triple
T22320298
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wesleyan Quadrilateral |
E551764
|
entity |
| Predicate | understandsReasonAs |
P103026
|
FINISHED |
| Object | critical and logical reflection |
—
|
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: critical and logical reflection | Statement: [Wesleyan Quadrilateral, understandsReasonAs, critical and logical reflection]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: understandsReasonAs Context triple: [Wesleyan Quadrilateral, understandsReasonAs, critical and logical reflection]
-
A.
understands
chosen
Indicates that one entity comprehends, grasps the meaning of, or correctly interprets information, ideas, or expressions associated with another entity.
-
B.
canReasonAbout
Indicates that one entity has the capability to understand, analyze, or draw inferences about another entity or subject.
-
C.
betterUnderstoodAs
Indicates that one concept, term, or representation is more accurately or clearly interpreted when viewed as another specified concept, term, or representation.
-
D.
statedReason
Indicates that one entity expresses or provides another entity as the explanation, justification, or motive for an action, event, or claim.
-
E.
rationalizationOf
Indicates that one entity serves as a justification, explanation, or reasoning framework for another entity, often making the latter appear more logical or acceptable.
- 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_69e11e4776588190abb21e5cea79973f |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15763bf0881908d859f85b4a6ce28 |
completed | April 29, 2026, 12:57 a.m. |
| PD | Predicate disambiguation | batch_69e73004d9e88190bb862319a5aea06b |
completed | April 21, 2026, 8:06 a.m. |
Created at: April 16, 2026, 8:42 p.m.