Triple
T24815749
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rabbi Jonah ibn Janah |
E620916
|
entity |
| Predicate | usedLanguageForScholarship |
P50274
|
FINISHED |
| Object | Judeo-Arabic |
—
|
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: Judeo-Arabic | Statement: [Rabbi Jonah ibn Janah, usedLanguageForScholarship, Judeo-Arabic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedLanguageForScholarship Context triple: [Rabbi Jonah ibn Janah, usedLanguageForScholarship, Judeo-Arabic]
-
A.
hasLanguageOfStudy
Indicates that an entity studies or is engaged in learning a particular language.
-
B.
languageBranchStudied
Indicates that a person studies or has studied a particular branch or subgroup of a language.
-
C.
hasPrimaryLanguageOfResearch
Indicates that an entity’s main or principal language used for conducting and publishing research is a specified language.
-
D.
historicalLanguageOfScholarship
chosen
Indicates that a language has historically been used as a primary medium of scholarly, academic, or learned communication for a given community, region, or tradition.
-
E.
scholarlyUse
Indicates that something is used for academic, educational, or research-related purposes.
- 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_69e2fabfd4648190bd0e5c7f4dbb6cab |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f42d9000b8819081ea2605f3c193d6 |
completed | May 1, 2026, 4:35 a.m. |
| PD | Predicate disambiguation | batch_69f420f471a0819095a6cd24ed8f7476 |
completed | May 1, 2026, 3:41 a.m. |
Created at: April 18, 2026, 5:02 a.m.