Triple
T6692072
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mukhtasar al-Quduri |
E152650
|
entity |
| Predicate | schoolUsage |
P27185
|
FINISHED |
| Object | standard primer in Hanafi madrasas |
—
|
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: standard primer in Hanafi madrasas | Statement: [Mukhtasar al-Quduri, schoolUsage, standard primer in Hanafi madrasas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: schoolUsage Context triple: [Mukhtasar al-Quduri, schoolUsage, standard primer in Hanafi madrasas]
-
A.
educationUse
Indicates the use or application of something specifically for educational purposes or in an educational context.
-
B.
schoolBoard
Indicates that an entity serves as or is governed by a school board responsible for overseeing educational policies and administration.
-
C.
school
Indicates that an entity attends, is enrolled in, or is institutionally associated as a student with a particular school.
-
D.
hasEducationalUse
chosen
Indicates that something is intended to be used for educational or instructional purposes.
-
E.
educationFacility
Indicates that one entity functions as an institution or place where the other entity receives or provides education or training.
- 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_69c6880687b08190805278b504d1c92c |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6cd0fa5188190a23281cb09d98139 |
completed | March 27, 2026, 6:31 p.m. |
| PD | Predicate disambiguation | batch_69c6ad0d3c1081908dadff7a6a054123 |
completed | March 27, 2026, 4:15 p.m. |
Created at: March 27, 2026, 2:05 p.m.