Triple
T6531689
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kashshaf al-Qinaʿ |
E152244
|
entity |
| Predicate | statusInCurriculum |
P6978
|
FINISHED |
| Object | advanced-level Hanbali 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 Hanbali text | Statement: [Kashshaf al-Qinaʿ, statusInCurriculum, advanced-level Hanbali text]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusInCurriculum Context triple: [Kashshaf al-Qinaʿ, statusInCurriculum, advanced-level Hanbali text]
-
A.
hasStatusInEducation
Indicates that an entity holds a particular educational status or standing within an educational system, program, or institution.
-
B.
academicStatus
chosen
Indicates the educational or scholarly standing or level an entity holds within an academic context.
-
C.
usesCurriculum
Indicates that one entity adopts or applies a particular curriculum as the basis for its instruction, training, or educational activities.
-
D.
stateStudied
Indicates that a person has studied or received education in a particular state.
-
E.
currentQualificationIncludes
Indicates that an entity’s present qualification set contains or encompasses a specified qualification or component.
- 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_69c688048ec8819093a47f7d332e12ec |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6adbcf820819097ca33a5fc14fd64 |
completed | March 27, 2026, 4:18 p.m. |
| PD | Predicate disambiguation | batch_69c68abd9c7c819099e4fe8097cd1b28 |
completed | March 27, 2026, 1:48 p.m. |
Created at: March 27, 2026, 1:46 p.m.