Triple
T11818042
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elegguá |
E281052
|
entity |
| Predicate | associatedWithOrisha |
P69792
|
FINISHED |
| Object | Ogún |
E57806
|
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: Ogún | Statement: [Elegguá, associatedWithOrisha, Ogún]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ogún Context triple: [Elegguá, associatedWithOrisha, Ogún]
-
A.
Ogun
chosen
Ogun is a major Yoruba deity revered as the god of iron, war, and craftsmanship, often associated with metalworking, technology, and the clearing of paths.
-
B.
Oshun
Oshun is a major Yoruba orisha revered as the goddess of fresh water, love, beauty, fertility, and diplomacy.
-
C.
Omoloko
Omoloko is an Afro-Brazilian religious tradition that blends Yoruba-derived orixá worship with elements of other African, Indigenous, and Catholic spiritual practices.
-
D.
Omoba
Omoba is a popular Afro-pop single by Nigerian artist D'Prince, known for its catchy hooks and club-friendly production.
-
E.
Omo-Tana
Omo-Tana is a subbranch of the Cushitic language family comprising several closely related languages spoken primarily in parts of Ethiopia, Kenya, and Somalia.
- 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_69d6ab26aae88190b2489efcb2a24234 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8be15fb2481908f514781ce2c617f |
completed | April 10, 2026, 9:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f28110623481908354bdd4e437f99e |
completed | April 29, 2026, 10:07 p.m. |
Created at: April 8, 2026, 9:42 p.m.