Triple
T25861123
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | أبو الفرج ابن الجوزي |
E651478
|
entity |
| Predicate | المجال العلمي |
P62407
|
FINISHED |
| Object | العلوم التاريخية |
—
|
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: العلوم التاريخية | Statement: [أبو الفرج ابن الجوزي, المجال العلمي, العلوم التاريخية]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: المجال العلمي Context triple: [أبو الفرج ابن الجوزي, المجال العلمي, العلوم التاريخية]
-
A.
scienceDomain
chosen
Indicates that one entity is a field, branch, or domain within science to which the other entity is related or belongs.
-
B.
منطقة النشاط العلمي
Indicates the area or domain in which a scientific activity or research effort is carried out.
-
C.
أثر_علمي
Indicates a scientific impact or influence that one entity (such as a work, researcher, or discovery) has on another within the scientific or academic domain.
-
D.
isScientific
Indicates that something pertains to or is based on systematic scientific methods, principles, or knowledge.
-
E.
regionOfStudy
Indicates the academic or research area that is the focus of someone’s study or investigation.
- 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_69e7ab3a199c81909227cb964cacfe24 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f6026b467c8190a1f8be336f8679da |
completed | May 2, 2026, 1:55 p.m. |
| PD | Predicate disambiguation | batch_69f4a0fed15881909b789251fe5d8d45 |
completed | May 1, 2026, 12:47 p.m. |
Created at: April 22, 2026, 8:05 a.m.