Triple
T24282481
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sharh Muntaha al-Iradat |
E605581
|
entity |
| Predicate | schoolCanonRole |
P59287
|
FINISHED |
| Object | part of the late Hanbali canonical layer of texts |
—
|
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: part of the late Hanbali canonical layer of texts | Statement: [Sharh Muntaha al-Iradat, schoolCanonRole, part of the late Hanbali canonical layer of texts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: schoolCanonRole Context triple: [Sharh Muntaha al-Iradat, schoolCanonRole, part of the late Hanbali canonical layer of texts]
-
A.
schoolRole
Indicates the specific function, position, or capacity an entity holds within a school context (e.g., student, teacher, administrator).
-
B.
courseRole
Indicates the specific function or position an individual holds within a course, such as student, instructor, or assistant.
-
C.
canonicalRole
chosen
Indicates that an entity holds a standard, primary, or officially recognized role within a particular context or system.
-
D.
educationPolicyRole
Indicates a role in creating, influencing, or implementing education-related policies or regulations.
-
E.
roleAccordingTo
Indicates that an entity holds a particular role or function as defined or interpreted by a specified source or perspective.
- 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_69e295480d0c8190846fc3c2e2da1d4c |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f28f52e57c8190ab73e4b2b6a9eafd |
completed | April 29, 2026, 11:08 p.m. |
| PD | Predicate disambiguation | batch_69f1c457a2908190993824395b3c365d |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 18, 2026, 12:08 a.m.