Triple
T11797033
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yoruba orishas |
E280526
|
entity |
| Predicate | hasNotableMember |
P304
|
FINISHED |
| Object | Shango (Ṣàngó) |
E57147
|
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: Shango (Ṣàngó) | Statement: [Yoruba orishas, hasNotableMember, Shango (Ṣàngó)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shango (Ṣàngó) Context triple: [Yoruba orishas, hasNotableMember, Shango (Ṣàngó)]
-
A.
Shango
chosen
Shango is a major Yoruba orisha revered as the powerful god of thunder, lightning, and justice, often associated with kingship and drumming.
-
B.
Babalú-Ayé
Babalú-Ayé is a major Orisha in the Yoruba and Afro-Cuban religious traditions, revered as the powerful deity of disease, healing, and protection from epidemics.
-
C.
Abakuá
Abakuá is an Afro-Cuban fraternal and religious society with roots in West African traditions, known for its secret rituals, music, and strong communal bonds.
-
D.
Lucumí
Lucumí is a liturgical Afro-Cuban language variety derived mainly from Yoruba, used in Santería/Regla de Ocha religious rituals.
-
E.
Oyá
Oyá is a powerful Yoruba and Afro-Caribbean orisha associated with winds, storms, the cemetery, and transformative change.
- 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_69f45825e9ac8190ad13d4b4e0208d20 |
completed | May 1, 2026, 7:37 a.m. |
Created at: April 8, 2026, 9:42 p.m.