Triple
T744436
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ibadi Islam |
E15310
|
entity |
| Predicate | followsLegalSchool |
P17978
|
FINISHED |
| Object | Ibadi fiqh |
—
|
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: Ibadi fiqh | Statement: [Ibadi Islam, followsLegalSchool, Ibadi fiqh]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: followsLegalSchool Context triple: [Ibadi Islam, followsLegalSchool, Ibadi fiqh]
-
A.
majorSchoolOfLaw
chosen
Indicates that a particular school of law is a primary or dominant legal tradition or framework associated with an entity.
-
B.
lawReview
Indicates a relationship where an entity is associated with a law review, typically as its subject, source, or venue of publication within legal scholarship.
-
C.
isStudiedIn
Indicates that a subject (such as a topic, field, or phenomenon) is examined, researched, or learned about within a particular context, environment, or discipline.
-
D.
studiedUnder
Indicates that one entity received instruction, training, or mentorship from another, typically in an academic or apprenticeship context.
-
E.
alsoAttendedSchool
Indicates that two or more entities attended the same school in addition to any other schools they may have attended.
- 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_69a49358aa308190adbc9b5a0a2adcf9 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a610ba9881908b4e5e7dcc6ed0f5 |
completed | March 1, 2026, 8:48 p.m. |
| PD | Predicate disambiguation | batch_69a4a4ff10608190bfd60b4a1cb38f7d |
completed | March 1, 2026, 8:43 p.m. |
Created at: March 1, 2026, 7:37 p.m.