Triple
T12011970
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oyá |
E285923
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Iansã |
E934639
|
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: Iansã | Statement: [Oyá, alsoKnownAs, Iansã]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Iansã Context triple: [Oyá, alsoKnownAs, Iansã]
-
A.
Iansã
chosen
Iansã is a powerful Afro-Brazilian orixá associated with winds, storms, and the dead, revered as a fierce warrior and guardian of change and transformation.
-
B.
Ribeira
Ribeira is a historic riverside district in Porto, Portugal, known for its narrow medieval streets, colorful buildings, and vibrant waterfront atmosphere along the Douro River.
-
C.
Ribeira
Ribeira is a coastal town and municipality in the autonomous community of Galicia in northwestern Spain, known for its fishing industry and Atlantic beaches.
-
D.
Tajo River
The Tajo River is the longest river on the Iberian Peninsula, flowing from eastern Spain through central regions into Portugal before emptying into the Atlantic Ocean.
-
E.
Pomba River
The Pomba River is a significant waterway in southeastern Brazil that feeds into the Paraíba do Sul River and supports surrounding agricultural and urban regions.
- 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.