Triple
T24559967
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | al-Risala al-Qushayriyya |
E607623
|
entity |
| Predicate | theologicalSchoolContext |
P74414
|
FINISHED |
| Object | Ash‘ari |
—
|
NE NERFINISHED |
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: Ash‘ari | Statement: [al-Risala al-Qushayriyya, theologicalSchoolContext, Ash‘ari]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: theologicalSchoolContext Context triple: [al-Risala al-Qushayriyya, theologicalSchoolContext, Ash‘ari]
-
A.
theologicalContext
Indicates the religious or doctrinal framework, tradition, or set of beliefs within which something (such as a text, event, or concept) is interpreted or understood.
-
B.
associatedSchoolOfReligion
chosen
Indicates that an entity is connected with or belongs to a particular school or tradition within a religion.
-
C.
hasTheologicalFacultyAt
Indicates that an institution possesses or hosts a theological faculty at a specified location or campus.
-
D.
theologicalField
Indicates that something pertains to or is categorized within a specific area or branch of theology.
-
E.
theologicalCategory
Indicates the classification of something according to a particular theological type, tradition, or doctrinal category.
- 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_69e2c4cc35a48190990b7571bc086df8 |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2a8f57a7c8190a0eb8d6d6ef6ae61 |
completed | April 30, 2026, 12:57 a.m. |
| PD | Predicate disambiguation | batch_69f2a6b99e7c8190ba7e2dc8729a314a |
completed | April 30, 2026, 12:47 a.m. |
Created at: April 18, 2026, 2:27 a.m.