Triple
T19723335
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spanish Kabbalah |
E473661
|
entity |
| Predicate | viewOnCommandments |
P19251
|
FINISHED |
| Object | commandments as theurgic acts |
—
|
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: commandments as theurgic acts | Statement: [Spanish Kabbalah, viewOnCommandments, commandments as theurgic acts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: viewOnCommandments Context triple: [Spanish Kabbalah, viewOnCommandments, commandments as theurgic acts]
-
A.
containsCommandment
Indicates that one entity includes or encompasses a specific commandment as part of its content or structure.
-
B.
viewOnCommands
Indicates that an entity observes or inspects a set of commands, typically to review, monitor, or analyze them.
-
C.
numberOfCommandments
Indicates the total count of commandments associated with a given subject.
-
D.
viewOnMoralLaw
chosen
Indicates a subject’s stance or interpretation regarding principles of moral law or ethical rules.
-
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_69d8e517ebd48190979ee76723bcfadf |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e649f64984819097882c44098b1643 |
completed | April 20, 2026, 3:44 p.m. |
| PD | Predicate disambiguation | batch_69e5304a7aac8190ac13f75f0c008e45 |
completed | April 19, 2026, 7:43 p.m. |
Created at: April 10, 2026, 1:46 p.m.