Triple
T28681673
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Torah uMadda |
E726023
|
entity |
| Predicate | viewOnSecularKnowledge |
P16769
|
FINISHED |
| Object | secular knowledge has independent value |
—
|
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: secular knowledge has independent value | Statement: [Torah uMadda, viewOnSecularKnowledge, secular knowledge has independent value]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: viewOnSecularKnowledge Context triple: [Torah uMadda, viewOnSecularKnowledge, secular knowledge has independent value]
-
A.
viewOnKnowledge
chosen
Indicates the perspective, stance, or opinion one entity holds regarding another entity’s knowledge or understanding.
-
B.
hasViewOnSecularCulture
Indicates that an entity holds a particular stance, opinion, or perspective regarding secular culture.
-
C.
viewOfMoralKnowledge
Indicates a stance or theory an agent holds about the nature, source, or possibility of moral knowledge.
-
D.
hasSecularAspects
Indicates that something includes or exhibits non-religious, worldly, or secular characteristics or dimensions.
-
E.
viewOnGod
Indicates a relationship where one entity holds or expresses a particular opinion, belief, or perspective about God.
- 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_69f01d867608819086bc3e6b4f9de866 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f7308a096081909d66a56f3c926806 |
completed | May 3, 2026, 11:24 a.m. |
| PD | Predicate disambiguation | batch_69f72a00c5f081908b6539d15baf4e12 |
completed | May 3, 2026, 10:57 a.m. |
Created at: April 28, 2026, 5:09 a.m.