Triple
T11797034
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yoruba orishas |
E280526
|
entity |
| Predicate | hasNotableMember |
P304
|
FINISHED |
| Object | Oya (Ọya) |
E285923
|
NE 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: Oya (Ọya) | Statement: [Yoruba orishas, hasNotableMember, Oya (Ọya)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oya (Ọya) Context triple: [Yoruba orishas, hasNotableMember, Oya (Ọya)]
-
A.
Oyá
chosen
Oyá is a powerful Yoruba and Afro-Caribbean orisha associated with winds, storms, the cemetery, and transformative change.
-
B.
Omoloko
Omoloko is an Afro-Brazilian religious tradition that blends Yoruba-derived orixá worship with elements of other African, Indigenous, and Catholic spiritual practices.
-
C.
Ogun
Ogun is a major Yoruba deity revered as the god of iron, war, and craftsmanship, often associated with metalworking, technology, and the clearing of paths.
-
D.
Oluremi
Oluremi is a feminine given name of Yoruba origin, commonly used in Nigeria and among Yoruba-speaking communities.
-
E.
Oworonshoki
Oworonshoki is a densely populated waterfront suburb in Lagos, Nigeria, located on the mainland along the Lagos Lagoon.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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. |
| NED1 | Entity disambiguation (via context triple) | batch_69f280fe1b2881908c32b920cdaf04df |
completed | April 29, 2026, 10:06 p.m. |
Created at: April 8, 2026, 9:42 p.m.