Triple
T38462675
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barelvi madrasas |
E912490
|
entity |
| Predicate | curriculumTradition |
P16459
|
FINISHED |
| Object | Dars-e-Nizami |
—
|
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: Dars-e-Nizami | Statement: [Barelvi madrasas, curriculumTradition, Dars-e-Nizami]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: curriculumTradition Context triple: [Barelvi madrasas, curriculumTradition, Dars-e-Nizami]
-
A.
followsEducationalTradition
chosen
Indicates that one entity adheres to, continues, or is guided by the established educational practices, principles, or lineage associated with another entity.
-
B.
mainTradition
Indicates that one entity represents the primary or dominant tradition associated with another entity.
-
C.
curriculumType
Indicates the classification or category of curriculum associated with an educational program or course.
-
D.
curriculumOrigin
Indicates that one entity is the source, creator, or originating context from which a particular curriculum is derived or developed.
-
E.
culturalTradition
Indicates a relationship where certain practices, beliefs, or customs are recognized as part of a shared cultural heritage passed down within a group or society.
- 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_69f76e861d8c81908559031dc66e3c15 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fcce7afcd08190906cc3801152656a |
completed | May 7, 2026, 5:40 p.m. |
| PD | Predicate disambiguation | batch_69fcccf140ec8190862d53388a5f40d7 |
completed | May 7, 2026, 5:33 p.m. |
Created at: May 3, 2026, 4:31 p.m.