Triple
T20614036
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Four Worlds in Kabbalah |
E506519
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Assiah |
—
|
NE NERFINISHED |
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: Assiah | Statement: [Four Worlds in Kabbalah, hasPart, Assiah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Assiah Context triple: [Four Worlds in Kabbalah, hasPart, Assiah]
-
A.
Assiah
chosen
Assiah is the Kabbalistic world of action and material existence, representing the lowest of the four spiritual realms in Jewish mysticism.
-
B.
Aysha
Aysha is a feminine given name commonly used in various cultures, often considered a variant of Aisha and associated with meanings like "alive" or "she who lives."
-
C.
Adah
Adah is a symbolic heroine in the Order of the Eastern Star, representing the virtue of obedience and fidelity drawn from the biblical figure Jephthah’s daughter.
-
D.
Adah
Adah is a woman mentioned in the Book of Genesis, known as one of Esau’s wives in the Hebrew Bible.
-
E.
Arnissa
Arnissa is a small town in northern Greece situated close to Lake Vegoritida, known for its scenic lakeside setting and surrounding natural landscape.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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. |
Created at: April 16, 2026, 11:41 a.m.