Triple
T2571571
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Regla de Ocha |
E57674
|
entity |
| Predicate | hasImportantDeity |
P7648
|
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: [Regla de Ocha, hasImportantDeity, Ogún]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ogún Context triple: [Regla de Ocha, hasImportantDeity, 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.
Olosega
Olosega is a small volcanic island in the Manuʻa group of American Samoa, known for its dramatic cliffs, lush vegetation, and connection by bridge to the neighboring island of Ofu.
-
D.
Carybé
Carybé was a prominent Argentine-Brazilian painter, illustrator, and muralist known for his vivid depictions of Afro-Brazilian culture and the city of Salvador, Bahia.
-
E.
Uda
Uda is a city located in Nara Prefecture, Japan, known for its historical sites and natural scenery.
- 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_69abd83299708190993b79daaffcc9a1 |
completed | March 7, 2026, 7:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af83aefb00819095a6ab26f9bb61d9 |
completed | March 10, 2026, 2:36 a.m. |
Created at: March 6, 2026, 9:48 p.m.