Triple
T14781521
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zugot |
E347399
|
entity |
| Predicate | religiousAuthorityType |
P92243
|
FINISHED |
| Object | Oral law authority |
—
|
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: Oral law authority | Statement: [Zugot, religiousAuthorityType, Oral law authority]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: religiousAuthorityType Context triple: [Zugot, religiousAuthorityType, Oral law authority]
-
A.
religiousAuthorityStructure
Indicates the organizational or hierarchical structure through which religious authority and decision-making are distributed and exercised.
-
B.
religiousAuthorityStatus
chosen
Indicates the role or level of recognized authority an entity holds within a religious or spiritual hierarchy.
-
C.
religiousFigureType
Indicates the specific role or category of a person recognized as a religious figure (e.g., priest, monk, prophet) within a religious context.
-
D.
religiousAuthorityBasis
Indicates the foundational source or justification upon which a religious authority’s legitimacy or power is based.
-
E.
secularAuthorityHeldBy
Indicates that the specified entity holds or exercises non-religious (civil or governmental) authority over another entity.
- 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_69d822e9b9e08190bedcc31a163fda82 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deca9de3f48190b7706925e2947cf5 |
completed | April 14, 2026, 11:15 p.m. |
| PD | Predicate disambiguation | batch_69de8c090d1081909b5a9bf437499d6c |
completed | April 14, 2026, 6:48 p.m. |
Created at: April 10, 2026, 1:31 a.m.