Triple
T19276732
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mitnagdic Kabbalah |
E482076
|
entity |
| Predicate | studiesText |
P1945
|
FINISHED |
| Object | Etz Chaim |
—
|
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: Etz Chaim | Statement: [Mitnagdic Kabbalah, studiesText, Etz Chaim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Etz Chaim Context triple: [Mitnagdic Kabbalah, studiesText, Etz Chaim]
-
A.
Etz Chaim
chosen
Etz Chaim is a foundational Kabbalistic work, primarily associated with Rabbi Isaac Luria’s mystical teachings as compiled by his disciple Rabbi Chaim Vital.
-
B.
Beriah
Beriah is the Kabbalistic world of Creation, one of the four principal spiritual realms in Jewish mysticism.
-
C.
Yadamah
Yadamah is a town in southwestern Saudi Arabia located within the Najran Region near the border with Yemen.
-
D.
Ntumu
Ntumu is a dialect of the Fang language spoken by Fang communities in parts of Central Africa, particularly in Equatorial Guinea, Gabon, and Cameroon.
-
E.
Raphana
Raphana was an ancient Hellenistic-Roman city of the Decapolis in the Levant, known from classical sources as part of this influential league of urban centers.
- 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_69d8e8ce54cc8190998418ff1f66ef28 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fbbd5f34819086535f28fd880411 |
completed | April 20, 2026, 10:11 a.m. |
Created at: April 10, 2026, 1:29 p.m.