Triple
T6567158
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Al-Mughni |
E153935
|
entity |
| Predicate | comparesOpinionsOf |
P28131
|
FINISHED |
| Object | major Sunni schools |
—
|
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: major Sunni schools | Statement: [Al-Mughni, comparesOpinionsOf, major Sunni schools]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: comparesOpinionsOf Context triple: [Al-Mughni, comparesOpinionsOf, major Sunni schools]
-
A.
hasDifferentOpinionsOn
chosen
Indicates that two or more entities hold differing views or judgments regarding a particular topic, issue, or subject.
-
B.
givesOpinionOn
Indicates that one entity expresses a view, judgment, or evaluation about another entity or subject.
-
C.
opinionBy
Indicates that a particular opinion, viewpoint, or judgment is expressed or held by a specific entity.
-
D.
languageOfOpinion
Indicates that a particular opinion is expressed or communicated in a specified language.
-
E.
publishedOpinionsAre
Indicates that certain opinions have been made publicly available or formally released in a published form.
- 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_69c6880cb35881909b763eb0125236b9 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6cc9c6cb0819084fec8e0beb430de |
completed | March 27, 2026, 6:29 p.m. |
| PD | Predicate disambiguation | batch_69c6acf93cb48190b54f5dd6febd34dc |
completed | March 27, 2026, 4:14 p.m. |
Created at: March 27, 2026, 1:53 p.m.