Triple
T19864190
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Keter Elyon |
E477344
|
entity |
| Predicate | isPositionInSefirot |
P137617
|
FINISHED |
| Object | highest sefirah |
—
|
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: highest sefirah | Statement: [Keter Elyon, isPositionInSefirot, highest sefirah]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPositionInSefirot Context triple: [Keter Elyon, isPositionInSefirot, highest sefirah]
-
A.
hasNumberOfSephirot
Indicates the specific count of sephirot associated with or attributed to an entity.
-
B.
containsSephirah
Indicates that one entity includes or encompasses a specific sephirah as a component, aspect, or part within itself.
-
C.
positionRelativeToGevurah
Indicates a spatial or conceptual placement of one entity in relation to the entity or aspect referred to as Gevurah.
-
D.
positionRelativeToChesed
Indicates the spatial or conceptual position of something in relation to Chesed.
-
E.
positionRelativeToNetzach
Indicates the spatial or conceptual position of one entity in relation to Netzach.
- F. None of above. chosen
Provenance (4 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_69d8e51e7d948190aedbcd6c30361c39 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6589d55a88190af7d4e12c4b07739 |
completed | April 20, 2026, 4:47 p.m. |
| PD | Predicate disambiguation | batch_69e537e21d2881909b1be82f02b99d40 |
completed | April 19, 2026, 8:15 p.m. |
| PDg | Predicate description generation | batch_69e543c136b081909cab9394b958390a |
completed | April 19, 2026, 9:06 p.m. |
Created at: April 10, 2026, 1:51 p.m.