Triple
T30905018
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | بدر الدين العيني |
E787275
|
entity |
| Predicate | أشهر_الأعمال |
P4
|
FINISHED |
| Object | عمدة القاري شرح 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: عمدة القاري شرح صحيح البخاري | Statement: [بدر الدين العيني, أشهر_الأعمال, عمدة القاري شرح صحيح البخاري]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: أشهر_الأعمال Context triple: [بدر الدين العيني, أشهر_الأعمال, عمدة القاري شرح صحيح البخاري]
-
A.
أشهر_الكتب
Indicates that the relationship identifies the most famous or well-known books associated with a given entity.
-
B.
notableWorkIn
Indicates that an entity is known for or associated with a significant work, contribution, or achievement in a particular field or context.
-
C.
notableWork
chosen
Indicates that one entity is a significant or well-known work (such as a book, artwork, or creation) produced by another entity.
-
D.
notableTypeOfWork
Indicates that a work is a significant or defining example within a particular type or category of work associated with an entity.
-
E.
notableWorkAs
Indicates a relationship where a particular work is recognized as a significant or distinguished creation associated with an 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_69f224bcbcb48190836df847424e4057 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6927dd38081909f32b60565283795 |
completed | May 3, 2026, 12:10 a.m. |
| PD | Predicate disambiguation | batch_69f68b7ec098819080480998038de940 |
completed | May 2, 2026, 11:40 p.m. |
Created at: April 29, 2026, 8:50 p.m.