Triple
T25861012
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | المذهب الحنبلي |
E651476
|
entity |
| Predicate | يعتمد مصادر |
P26860
|
FINISHED |
| Object | القرآن الكريم |
—
|
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: القرآن الكريم | Statement: [المذهب الحنبلي, يعتمد مصادر, القرآن الكريم]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: يعتمد مصادر Context triple: [المذهب الحنبلي, يعتمد مصادر, القرآن الكريم]
-
A.
requiresSources
Indicates that something must be supported, justified, or validated by one or more external sources.
-
B.
usesInformationSources
chosen
Indicates that an entity relies on or consults specified information sources to perform actions, make decisions, or obtain knowledge.
-
C.
dataSourceFor
Indicates that one entity serves as the origin or provider of data that is used or consumed by another entity.
-
D.
containsSourceOf
Indicates that one entity includes, holds, or encompasses the origin or cause of another entity.
-
E.
usesSourceType
Indicates that one entity makes use of, relies on, or operates based on a particular type or category of source.
- 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_69e7ab3a199c81909227cb964cacfe24 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f6026b467c8190a1f8be336f8679da |
completed | May 2, 2026, 1:55 p.m. |
| PD | Predicate disambiguation | batch_69f4939148dc81908706cec7d85291bc |
completed | May 1, 2026, 11:50 a.m. |
Created at: April 22, 2026, 8:05 a.m.