Triple
T23987036
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sephardi and Mizrahi Jews |
E604965
|
entity |
| Predicate | usesReligiousLegalCode |
P3013
|
FINISHED |
| Object | Ben Ish Chai |
—
|
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: Ben Ish Chai | Statement: [Sephardi and Mizrahi Jews, usesReligiousLegalCode, Ben Ish Chai]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesReligiousLegalCode Context triple: [Sephardi and Mizrahi Jews, usesReligiousLegalCode, Ben Ish Chai]
-
A.
religiousLawAspect
Indicates that one entity represents a specific aspect, dimension, or component of a religious law associated with another entity.
-
B.
religiousJurisdiction
Indicates that one entity holds official religious authority or governance over another entity or area.
-
C.
religiousLawView
Indicates a person's stance, interpretation, or opinion regarding a particular religious law or set of religious legal principles.
-
D.
usesLegalCode
chosen
Indicates that one entity applies, references, or operates under a particular legal code in its actions or regulations.
-
E.
hasReligiousNorm
Indicates that one entity prescribes, embodies, or is governed by a religious rule, standard, or expectation in relation to another entity or context.
- F. None of above.
Provenance (3 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_69e295463f7c8190b1c19dbd114641b9 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f1d38838f481909a52fccd392a92df |
completed | April 29, 2026, 9:46 a.m. |
| PD | Predicate disambiguation | batch_69f161578d54819084a8b35496299993 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 9:36 p.m.