Triple
T8047772
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abdolkarim Soroush |
E187596
|
entity |
| Predicate | positionOnReligiousAuthority |
P23112
|
FINISHED |
| Object | advocates limitation of clerical power |
—
|
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: advocates limitation of clerical power | Statement: [Abdolkarim Soroush, positionOnReligiousAuthority, advocates limitation of clerical power]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionOnReligiousAuthority Context triple: [Abdolkarim Soroush, positionOnReligiousAuthority, advocates limitation of clerical power]
-
A.
positionInReligion
Indicates the specific role, rank, or office an entity holds within a religious organization or tradition.
-
B.
positionOnStateReligion
Indicates a stance or viewpoint regarding the role, status, or legitimacy of an official state religion.
-
C.
positionOnIslam
Indicates the stance, viewpoint, or attitude that an entity holds toward Islam.
-
D.
religiousAttitude
Indicates an entity’s stance, disposition, or orientation toward religion or religious beliefs.
-
E.
religiousAuthorityStructure
chosen
Indicates the organizational or hierarchical structure through which religious authority and decision-making are distributed and exercised.
- 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_69ca82b15e948190a62fd7af5218426a |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3f4f0bf88190b8a706186118c977 |
completed | March 31, 2026, 3:28 a.m. |
| PD | Predicate disambiguation | batch_69cb049a1b9c8190811c396421ebf9c9 |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:24 p.m.