Triple
T26634218
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Risalat al-Mustarshidin |
E668585
|
entity |
| Predicate | authorReligiousSchool |
P19416
|
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: [Risalat al-Mustarshidin, authorReligiousSchool, Sunni Islam]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: authorReligiousSchool Context triple: [Risalat al-Mustarshidin, authorReligiousSchool, Sunni Islam]
-
A.
associatedSchoolOfReligion
Indicates that an entity is connected with or belongs to a particular school or tradition within a religion.
-
B.
traditionalReligionSchool
Indicates that a school is affiliated with, influenced by, or primarily teaches according to a traditional religion or religious tradition.
-
C.
authorsReligion
chosen
Indicates the religious affiliation or belief system associated with an author.
-
D.
usedForReligiousEducation
Indicates that something is employed as a means or resource for teaching, learning, or instruction in religious beliefs, practices, or traditions.
-
E.
religiousCampus
Indicates that a campus is affiliated with, governed by, or primarily dedicated to a particular religion or religious organization.
- 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_69ee9d0024b8819090a7c8cf669a3b6c |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f6b49436b0819094e21603054d05d4 |
completed | May 3, 2026, 2:36 a.m. |
| PD | Predicate disambiguation | batch_69f6b3a5fd8481909433e923c5e24e55 |
completed | May 3, 2026, 2:32 a.m. |
Created at: April 27, 2026, 2:26 a.m.