Triple
T2571656
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shango Baptist |
E57676
|
entity |
| Predicate | hasPrimaryDeity |
P7648
|
FINISHED |
| Object | Shango |
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 | Statement: [Shango Baptist, hasPrimaryDeity, Shango]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shango Context triple: [Shango Baptist, hasPrimaryDeity, Shango]
-
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.
Elegguá
Elegguá is a major orisha in Afro-Cuban and Yoruba-derived religions, revered as the trickster guardian of crossroads, doors, and destiny who controls the opening and closing of all spiritual paths.
-
C.
Oyá
Oyá is a powerful Yoruba and Afro-Caribbean orisha associated with winds, storms, the cemetery, and transformative change.
-
D.
Lucumí
Lucumí is a liturgical Afro-Cuban language variety derived mainly from Yoruba, used in Santería/Regla de Ocha religious rituals.
-
E.
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.
- 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_69ab4a51410081908501dcf8bad9adc4 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd383dce881909411a38c6d37bc3a |
completed | March 7, 2026, 7:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afb66d08008190a319b19b56b6ea0d |
completed | March 10, 2026, 6:13 a.m. |
Created at: March 6, 2026, 9:48 p.m.