Triple
T26547748
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mukhtasar Khalil |
E671584
|
entity |
| Predicate | statusInCurricula |
P6978
|
FINISHED |
| Object | advanced-level Maliki fiqh text |
—
|
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: advanced-level Maliki fiqh text | Statement: [Mukhtasar Khalil, statusInCurricula, advanced-level Maliki fiqh text]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusInCurricula Context triple: [Mukhtasar Khalil, statusInCurricula, advanced-level Maliki fiqh text]
-
A.
hasStatusInEducation
Indicates that an entity holds a particular educational status or standing within an educational system, program, or institution.
-
B.
hasCurriculumBasis
Indicates that one entity’s curriculum is founded on, derived from, or guided by another entity as its basis.
-
C.
academicStatus
chosen
Indicates the educational or scholarly standing or level an entity holds within an academic context.
-
D.
usesCurriculum
Indicates that one entity adopts or applies a particular curriculum as the basis for its instruction, training, or educational activities.
-
E.
hasCurricularStructure
Indicates that an educational program or course is organized according to a defined curricular framework or structure.
- 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_69eeb32163f08190af5f81282738e27a |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f739a638748190808e7a2930dce16e |
completed | May 3, 2026, 12:03 p.m. |
| PD | Predicate disambiguation | batch_69f732f2dc6c8190a4e86da98cc5eb05 |
completed | May 3, 2026, 11:35 a.m. |
Created at: April 27, 2026, 1:45 a.m.