Triple
T16650175
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leibnizian rationalism |
E404581
|
entity |
| Predicate | viewsMindBodyRelationAs |
P5769
|
FINISHED |
| Object | parallel coordination without interaction |
—
|
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: parallel coordination without interaction | Statement: [Leibnizian rationalism, viewsMindBodyRelationAs, parallel coordination without interaction]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: viewsMindBodyRelationAs Context triple: [Leibnizian rationalism, viewsMindBodyRelationAs, parallel coordination without interaction]
-
A.
viewOnMindBody
chosen
Indicates a relationship where one entity holds a particular perspective, opinion, or stance regarding the concept of mind-body or the mind-body relationship.
-
B.
viewsBehaviorAs
Indicates that one entity interprets, judges, or regards another entity’s behavior in a particular way.
-
C.
viewOfBody
Indicates a visual representation or perspective that shows the body or a specific part of the body.
-
D.
viewsAs
Indicates that one entity perceives, interprets, or regards another entity in a particular way or role.
-
E.
valueRelation
Indicates a comparative or associative relationship between the values or magnitudes of two or more entities.
- 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_69d8838a41f08190b0c3f79c47df5078 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37ad85ec881909dc6a434a363dab1 |
completed | April 18, 2026, 12:36 p.m. |
| PD | Predicate disambiguation | batch_69e319b1d7f08190b5ecb4a68c636c15 |
completed | April 18, 2026, 5:42 a.m. |
Created at: April 10, 2026, 5:18 a.m.