Triple
T9219814
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | الجامع الصحيح |
E221332
|
entity |
| Predicate | مرجع_في |
P17720
|
FINISHED |
| Object | الفقه الإسلامي |
—
|
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: الفقه الإسلامي | Statement: [الجامع الصحيح, مرجع_في, الفقه الإسلامي]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: مرجع_في Context triple: [الجامع الصحيح, مرجع_في, الفقه الإسلامي]
-
A.
isFamouslyUsedIn
Indicates that something is widely recognized or well-known for being used in a particular context, work, or situation.
-
B.
inAlMuwatta
Indicates that a referenced text, ruling, or narration is found within the Islamic legal compilation Al-Muwatta.
-
C.
النسب
Indicates a genealogical or familial relationship linking one entity to another through lineage or descent.
-
D.
refersSpecificallyTo
Indicates that one entity makes an explicit, precise reference to another particular entity, distinguishing it from more general or ambiguous references.
-
E.
providesInformationIn
chosen
Indicates that one entity supplies or conveys information within or through another entity or context.
- 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_69ca83eae42c8190a0ea9e040710a277 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccda74808081908d4bf890759e7120 |
completed | April 1, 2026, 8:42 a.m. |
| PD | Predicate disambiguation | batch_69cc7a3daeb481908b0abde3fbc1f1f0 |
completed | April 1, 2026, 1:51 a.m. |
Created at: March 30, 2026, 7:28 p.m.