Triple
T12150065
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West African Islam |
E289428
|
entity |
| Predicate | commonLanguageOfScholarship |
P50274
|
FINISHED |
| Object | 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: Arabic | Statement: [West African Islam, commonLanguageOfScholarship, Arabic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commonLanguageOfScholarship Context triple: [West African Islam, commonLanguageOfScholarship, Arabic]
-
A.
languageOfInstitutionalContext
Indicates the language used as the primary medium of communication within an institutional setting or context.
-
B.
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.
-
C.
historicallyDominantLanguageOfHigherEducationIn
Indicates that a language has historically been the primary or prevailing medium of instruction and scholarly communication in institutions of higher education within a given place or region.
-
D.
languageOfAwardingInstitution
Indicates the language in which the awarding institution formally grants or documents the award.
-
E.
languageOfTeachings
Indicates the language in which teachings, lessons, or instructional content are delivered or expressed.
- 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_69d6ab4c6710819097a9d228382dde43 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915d7109481908bf5fe512bba3c89 |
completed | April 10, 2026, 3:23 p.m. |
| PD | Predicate disambiguation | batch_69d9150c18148190bf8152189c0e5fca |
completed | April 10, 2026, 3:19 p.m. |
Created at: April 8, 2026, 9:49 p.m.