Triple
T2670452
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yemoja |
E55733
|
entity |
| Predicate | presentIn |
P795
|
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: [Yemoja, presentIn, Umbanda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Umbanda Context triple: [Yemoja, presentIn, 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.
Kizombo
Kizombo is a regional dialect of the Kikongo language spoken by Bakongo communities in Central Africa.
-
C.
Umbundu
Umbundu is a major Bantu language spoken primarily in central and southern Angola, especially by the Ovimbundu people.
-
D.
Samba Pa Ti
"Samba Pa Ti" is an instrumental Latin rock ballad by guitarist Carlos Santana, renowned for its expressive, melodic guitar work and enduring popularity since its release in 1970.
-
E.
Pongu Pongu
Pongu Pongu is a themed quick-service drink and snack stand in Disney's Pandora – The World of Avatar, known for its colorful specialty beverages and immersive Na'vi-inspired atmosphere.
- 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_69ab49e54de48190be708cd1cf8be073 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd98d32ac8190b8edd9421b706532 |
completed | March 7, 2026, 7:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afa05f1ba48190a93a399d1067912c |
completed | March 10, 2026, 4:38 a.m. |
Created at: March 6, 2026, 9:54 p.m.