Triple
T12168509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rada lwa |
E289894
|
entity |
| Predicate | includes |
P1393
|
FINISHED |
| Object | Legba |
E281052
|
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: Legba | Statement: [Rada lwa, includes, Legba]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Legba Context triple: [Rada lwa, includes, Legba]
-
A.
Shango
Shango is a major Yoruba orisha revered as the powerful god of thunder, lightning, and justice, often associated with kingship and drumming.
-
B.
Elegguá
chosen
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.
Winti
Winti is a traditional Afro-Surinamese spiritual religion that centers on the veneration of nature spirits and ancestral forces through rituals, healing practices, and trance possession.
-
D.
Oyá
Oyá is a powerful Yoruba and Afro-Caribbean orisha associated with winds, storms, the cemetery, and transformative change.
-
E.
Ezili Dantò
Ezili Dantò is a fierce and protective Haitian Vodou goddess associated with motherhood, vengeance, and the struggles of the oppressed.
- 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_69d6ab4d6c00819095a9a7c35de83cfb |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915d85c088190a74fb7590877659b |
completed | April 10, 2026, 3:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60a85e42481908c5517a24f7688e0 |
completed | May 2, 2026, 2:30 p.m. |
Created at: April 8, 2026, 9:50 p.m.