Triple
T20614059
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Four Worlds in Kabbalah |
E506519
|
entity |
| Predicate | describesOrder |
P140782
|
FINISHED |
| Object | from Atzilut to Assiah |
—
|
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: from Atzilut to Assiah | Statement: [Four Worlds in Kabbalah, describesOrder, from Atzilut to Assiah]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: describesOrder Context triple: [Four Worlds in Kabbalah, describesOrder, from Atzilut to Assiah]
-
A.
depictsOrder
Indicates that one entity visually represents or portrays the sequence or arrangement of another entity or set of entities.
-
B.
orderContext
Indicates the situational or transactional circumstances under which an order is placed, processed, or interpreted.
-
C.
ordersBy
Indicates that one entity arranges, sorts, or sequences another entity according to a specified criterion or set of criteria.
-
D.
orderDisplayed
Indicates that a particular order is currently being shown or presented in a user interface or display context.
-
E.
refersToOrder
Indicates that one entity makes reference to, or is associated with, a specific order.
- 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_69e0b4bb2b4081908fa4a72444120f35 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6aada19e481909363428ceda67603 |
completed | April 20, 2026, 10:38 p.m. |
| PD | Predicate disambiguation | batch_69e5a00c43308190b7ea58d559257e07 |
completed | April 20, 2026, 3:39 a.m. |
| PDg | Predicate description generation | batch_69e5a6a9f3f88190b961db9aca36f7da |
completed | April 20, 2026, 4:08 a.m. |
Created at: April 16, 2026, 11:41 a.m.