Triple
T28884099
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alawiyya Sufi order |
E732503
|
entity |
| Predicate | approachToOtherReligions |
P133503
|
FINISHED |
| Object | universalist |
—
|
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: universalist | Statement: [Alawiyya Sufi order, approachToOtherReligions, universalist]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approachToOtherReligions Context triple: [Alawiyya Sufi order, approachToOtherReligions, universalist]
-
A.
positionOnOtherReligions
chosen
Indicates a stance, attitude, or policy that one entity holds toward other religions or religious traditions.
-
B.
otherRivalReligion
Indicates that one entity follows or is associated with a religion that is a rival or competing faith to the religion associated with another entity.
-
C.
otherReligion
Indicates that one entity follows or is associated with a religion that is different from the religion of another entity.
-
D.
associatedReligionOrBelief
Indicates that an entity is connected to, identified with, or characterized by a particular religion or belief system.
-
E.
religiousReception
Indicates a relationship where one entity formally receives, welcomes, or hosts another in a specifically religious or faith-based 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_69f05b07bdec819080cadfe147aa1f25 |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69fd49f6dbac81909744373a357b7982 |
completed | May 8, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69fd48ed68f481908374183c66a6b055 |
completed | May 8, 2026, 2:22 a.m. |
Created at: April 28, 2026, 7:48 a.m.