Triple
T28006717
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lata’if al-Ma‘arif |
E707297
|
entity |
| Predicate | hasSchoolTradition |
P19423
|
FINISHED |
| Object | Sunni Islam |
—
|
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: Sunni Islam | Statement: [Lata’if al-Ma‘arif, hasSchoolTradition, Sunni Islam]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSchoolTradition Context triple: [Lata’if al-Ma‘arif, hasSchoolTradition, Sunni Islam]
-
A.
hasTraditionIn
chosen
Indicates that a particular tradition, custom, or longstanding practice is present, observed, or established within a specified place, group, or context.
-
B.
hasStudentTraditions
Indicates that an institution or group maintains specific customs, rituals, or practices that are regularly carried out by its students.
-
C.
hasWinningTradition
Indicates that an entity (such as a team or organization) is characterized by a consistent history of success or victories in its competitive activities.
-
D.
campusTraditionStatus
Indicates the status or condition of a particular tradition associated with a campus (e.g., whether it is active, discontinued, or planned).
-
E.
hasServiceTradition
Indicates that an entity maintains an established, customary way of providing a particular service over time.
- 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_69ef96ba350c81908230d0b501b974c4 |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69f6e6029a10819098ff21f58079e70e |
completed | May 3, 2026, 6:06 a.m. |
| PD | Predicate disambiguation | batch_69f6e3d5e8188190b1e1c2e5d1b77031 |
completed | May 3, 2026, 5:57 a.m. |
Created at: April 27, 2026, 8:01 p.m.