Triple
T9219802
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | الجامع الصحيح |
E221332
|
entity |
| Predicate | عدد_الأحاديث_مع_التكرار |
P26982
|
FINISHED |
| Object | نحو 7000 حديث مع المكرر |
—
|
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: نحو 7000 حديث مع المكرر | Statement: [الجامع الصحيح, عدد_الأحاديث_مع_التكرار, نحو 7000 حديث مع المكرر]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: عدد_الأحاديث_مع_التكرار Context triple: [الجامع الصحيح, عدد_الأحاديث_مع_التكرار, نحو 7000 حديث مع المكرر]
-
A.
hadithNarrationsCountApprox
chosen
Indicates an approximate number of hadith narrations associated with an entity.
-
B.
hadithsNarrated
Indicates that one entity (typically a person) has narrated, transmitted, or reported the hadiths associated with another entity (such as a collection, text, or individual hadith).
-
C.
narratedHadith
Indicates that one entity transmitted or reported a hadith (a prophetic narration) from or about another entity.
-
D.
repetitionOf
Indicates that one entity is a repeated occurrence or instance of another entity, preserving the same content or pattern.
-
E.
inAlMuwatta
Indicates that a referenced text, ruling, or narration is found within the Islamic legal compilation Al-Muwatta.
- 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.