Triple
T11797102
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | babalawo |
E280527
|
entity |
| Predicate | transmissionOfKnowledge |
P335
|
FINISHED |
| Object | oral tradition |
—
|
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: oral tradition | Statement: [babalawo, transmissionOfKnowledge, oral tradition]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: transmissionOfKnowledge Context triple: [babalawo, transmissionOfKnowledge, oral tradition]
-
A.
followsEducationalTradition
Indicates that one entity adheres to, continues, or is guided by the established educational practices, principles, or lineage associated with another entity.
-
B.
coreTeaching
Indicates that an entity serves as a primary or foundational teaching or instructional activity for another entity.
-
C.
knowledgeExchange
Indicates a reciprocal sharing or transfer of knowledge, information, or expertise between entities.
-
D.
educates
chosen
Indicates that one entity provides instruction, knowledge, or training to another entity.
-
E.
teachesAbout
Indicates that one entity provides instruction or information to another entity on a particular subject or topic.
- 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_69d6ab258b808190b1735835c841e3a4 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a5a1cda0819092d66a82fd882786 |
completed | April 10, 2026, 7:24 a.m. |
| PD | Predicate disambiguation | batch_69d8a2491f048190853239bc05090bf4 |
completed | April 10, 2026, 7:10 a.m. |
Created at: April 8, 2026, 9:42 p.m.