Triple
T12011939
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oyá |
E285923
|
entity |
| Predicate | religion |
P45
|
FINISHED |
| Object | Umbanda |
E274598
|
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: Umbanda | Statement: [Oyá, religion, Umbanda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Umbanda Context triple: [Oyá, religion, Umbanda]
-
A.
Umbanda
chosen
Umbanda is a Brazilian syncretic religion that blends African traditions, Indigenous beliefs, and elements of Catholicism and Spiritism, centered on mediumship and the worship of various deities and spirits.
-
B.
Banda-Ndélé
Banda-Ndélé is a Banda language variety spoken in the Central African Republic, primarily by the Banda-Ndélé ethnic group.
-
C.
Ngoma
Ngoma is a traditional East African musical and dance form, often centered on drumming, that plays a key role in communal rituals, celebrations, and storytelling among Swahili and other Bantu-speaking peoples.
-
D.
Kizombo
Kizombo is a regional dialect of the Kikongo language spoken by Bakongo communities in Central Africa.
-
E.
Batuka
"Batuka" is an instrumental Latin rock track by Santana, known for its driving percussion and fusion of rock and Afro-Latin rhythms.
- 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_69d6ab45a368819084fce08bf0dc3705 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903d7777481908cd5a001f75e2ee3 |
completed | April 10, 2026, 2:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f48b363c6481908c8414c1eecc14f5 |
completed | May 1, 2026, 11:15 a.m. |
Created at: April 8, 2026, 9:46 p.m.