Triple
T21430817
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Muftiate of Chechnya |
E528677
|
entity |
| Predicate | mainSchoolOfTheology |
P74414
|
FINISHED |
| Object | Sunni creed |
—
|
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: Sunni creed | Statement: [Muftiate of Chechnya, mainSchoolOfTheology, Sunni creed]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainSchoolOfTheology Context triple: [Muftiate of Chechnya, mainSchoolOfTheology, Sunni creed]
-
A.
hasTheologicalFacultyAt
Indicates that an institution possesses or hosts a theological faculty at a specified location or campus.
-
B.
denominationalSeminaryFor
Indicates that a seminary is formally affiliated with and serves as a training institution for a particular religious denomination.
-
C.
seminaryName
Indicates the name assigned to a seminary institution.
-
D.
associatedSchoolOfReligion
chosen
Indicates that an entity is connected with or belongs to a particular school or tradition within a religion.
-
E.
schoolOf
Indicates that an educational institution is the one where a person studied, worked, or is otherwise academically affiliated.
- 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_69e0c455f3688190810bc96365791b0f |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e8b3eb08988190b50eca911442de7c |
completed | April 22, 2026, 11:41 a.m. |
| PD | Predicate disambiguation | batch_69e61639ee288190889ffd500d1260f6 |
completed | April 20, 2026, 12:04 p.m. |
Created at: April 16, 2026, 5:49 p.m.