Triple
T24720375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | الراغب الأصفهاني |
E612276
|
entity |
| Predicate | أشهر_الكتب |
P87124
|
FINISHED |
| Object | مفردات ألفاظ القرآن |
—
|
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: مفردات ألفاظ القرآن | Statement: [الراغب الأصفهاني, أشهر_الكتب, مفردات ألفاظ القرآن]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: أشهر_الكتب Context triple: [الراغب الأصفهاني, أشهر_الكتب, مفردات ألفاظ القرآن]
-
A.
bookCategory
Indicates the classification or genre category to which a given book belongs.
-
B.
traditionalBooks
Indicates that the relationship or action involves conventional, physical print books as opposed to digital or alternative formats.
-
C.
book
Indicates that an agent reserves or schedules a service, event, or resource for future use.
-
D.
favoriteBook
Indicates that one entity is the book that another entity likes best among all books.
-
E.
bookMention
chosen
Indicates that one entity (such as a text, person, or source) makes reference to or cites a particular book.
- 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_69e2d7d6e7a48190bb43b0d8bb1137a0 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f410fe3b848190ae296a29f742ee30 |
completed | May 1, 2026, 2:33 a.m. |
| PD | Predicate disambiguation | batch_69f40ee8ada8819089a7016b50308ff0 |
completed | May 1, 2026, 2:24 a.m. |
Created at: April 18, 2026, 3:40 a.m.