Triple
T19155212
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sunni Islam – Shafi'i school |
E468911
|
entity |
| Predicate | hasJurisprudentialField |
P28364
|
FINISHED |
| Object | ibadat |
—
|
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: ibadat | Statement: [Sunni Islam – Shafi'i school, hasJurisprudentialField, ibadat]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasJurisprudentialField Context triple: [Sunni Islam – Shafi'i school, hasJurisprudentialField, ibadat]
-
A.
hasJurisprudenceField
chosen
Indicates that an entity’s work, expertise, or classification pertains to a specific field or branch of jurisprudence (legal theory or law).
-
B.
hasPartInJurisprudence
Indicates that one legal concept, rule, or component forms a constituent part of another within the domain of jurisprudence.
-
C.
appliesToFieldOfLaw
Indicates that something is relevant or applicable to a particular field or branch of law.
-
D.
jurisprudenceDiscussedIn
Indicates that a topic, issue, or principle of jurisprudence is examined, analyzed, or debated within a particular document, discussion, or source.
-
E.
involvedInLegalDoctrine
Indicates that an entity plays a role in the formation, interpretation, application, or development of a particular legal doctrine.
- 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_69d8dd084ff48190ac0f8c46ee722629 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5eeb914248190a92dc5f30cbc8fcc |
completed | April 20, 2026, 9:15 a.m. |
| PD | Predicate disambiguation | batch_69e4b9b475d88190a8c15e8eb01dbfef |
completed | April 19, 2026, 11:17 a.m. |
Created at: April 10, 2026, 12:06 p.m.