Triple
T34183393
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | عثمان بن عفان |
E876887
|
entity |
| Predicate | من_أعماله |
P4
|
FINISHED |
| Object | توسعة المسجد النبوي |
—
|
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: توسعة المسجد النبوي | Statement: [عثمان بن عفان, من_أعماله, توسعة المسجد النبوي]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: من_أعماله Context triple: [عثمان بن عفان, من_أعماله, توسعة المسجد النبوي]
-
A.
worksFrom
Indicates that an entity performs its work or duties starting from or based at a specified location or source.
-
B.
majorWorkAboutHim
Indicates that a major work (such as a book, film, or study) is primarily about the referenced person.
-
C.
من أعلامه
Indicates that something or someone is among the notable figures, landmarks, or distinguishing symbols associated with a particular entity (such as a place, field, or group).
-
D.
notableWork
chosen
Indicates that one entity is a significant or well-known work (such as a book, artwork, or creation) produced by another 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_69f349ae640c8190b9cd220b5368d8b6 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f710075ce48190ad41ebd08e640c1e |
completed | May 3, 2026, 9:06 a.m. |
| PD | Predicate disambiguation | batch_69f70f3c5bfc81908585f52e196dafe5 |
completed | May 3, 2026, 9:02 a.m. |
Created at: May 1, 2026, 1:55 a.m.