Triple
T31260899
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | שבט לוי |
E797114
|
entity |
| Predicate | מופרש מ |
P171516
|
FINISHED |
| Object | שאר שבטי ישראל לעבודת ה' |
—
|
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: שאר שבטי ישראל לעבודת ה' | Statement: [שבט לוי, מופרש מ, שאר שבטי ישראל לעבודת ה']
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: מופרש מ Context triple: [שבט לוי, מופרש מ, שאר שבטי ישראל לעבודת ה']
-
A.
مصحفياً
Indicates that someone is acting in the capacity of a Qur’an specialist or is engaged in work related to the writing, editing, or production of the Qur’anic text.
-
B.
Yosef Yoav Dubno
Indicates a naming relationship where “Yosef” and “Yoav Dubno” are associated as parts of the same person’s full name.
-
C.
مؤلف_العمل
Indicates that an entity is the creator or author responsible for producing a particular work.
-
D.
מושך
Indicates that one entity pulls, attracts, or draws another entity toward itself.
-
E.
מושפע מ
Indicates that one entity is affected or influenced by another entity or factor.
- 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_69f224dd5fdc81908a4cd24917b67668 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69f80b62c8190bf2af2be0d3a7df8 |
completed | May 3, 2026, 1:06 a.m. |
| PD | Predicate disambiguation | batch_69f69d1bf8cc8190a78dfa5ab00daf3a |
completed | May 3, 2026, 12:55 a.m. |
| PDg | Predicate description generation | batch_69f69edae2448190925ce701c8792c52 |
completed | May 3, 2026, 1:03 a.m. |
Created at: April 29, 2026, 9:12 p.m.