Triple
T30818240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | فتح الباري بشرح صحيح البخاري |
E784843
|
entity |
| Predicate | يشرح |
P87652
|
FINISHED |
| Object | صحيح البخاري |
—
|
NE NERFINISHED |
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: صحيح البخاري | Statement: [فتح الباري بشرح صحيح البخاري, يشرح, صحيح البخاري]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: يشرح Context triple: [فتح الباري بشرح صحيح البخاري, يشرح, صحيح البخاري]
-
A.
aimsToExplain
Indicates that one entity intends to clarify, make understandable, or provide an explanation about another entity, concept, or situation.
-
B.
usedToExplain
Indicates that one entity serves as an explanation or clarification for another entity.
-
C.
explainsToAudience
Indicates that one entity provides an explanation or clarification to an audience as the intended recipients.
-
D.
clarifiesThat
Indicates that one entity explains or makes another entity more understandable by removing ambiguity or confusion about it.
-
E.
شرحه
chosen
Indicates that one entity explains, interprets, or clarifies something to another entity.
- 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_69f224b4eda48190bd212ce4f3901e56 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6906ad50481909a700664e0b70fb0 |
completed | May 3, 2026, 12:01 a.m. |
| PD | Predicate disambiguation | batch_69f68b7d2794819092fef8a63f4f3de8 |
completed | May 2, 2026, 11:40 p.m. |
Created at: April 29, 2026, 8:44 p.m.