Triple
T6756660
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aukan |
E154477
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Okanisi |
E604535
|
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: Okanisi | Statement: [Aukan, hasAlternativeName, Okanisi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Okanisi Context triple: [Aukan, hasAlternativeName, Okanisi]
-
A.
Okanisi
chosen
Okanisi is another name for the Ndyuka Maroons, a community of African-descended people in Suriname and French Guiana known for their distinct language and culture formed through resistance to slavery.
-
B.
Tahaʻa
Tahaʻa is a volcanic island in French Polynesia renowned for its vanilla plantations, tranquil lagoons, and traditional Polynesian culture.
-
C.
Okeanos
Okeanos is the primordial Greek god personifying the great encircling river believed to surround the world.
-
D.
Océan
Océan is a coastal department in Cameroon's South Region, known for its Atlantic shoreline and port towns.
-
E.
Océan
Océan was a prominent French ship of the line that served as a flagship in major naval engagements during the age of sail.
- 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_69c6880fd5808190be684854081e27dd |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d1f5ab0881908619b835b9f068d4 |
completed | March 27, 2026, 6:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c712aa0b148190955c58af69849cc4 |
completed | March 27, 2026, 11:28 p.m. |
Created at: March 27, 2026, 2:11 p.m.