Triple
T11878118
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South South |
E282582
|
entity |
| Predicate | containsEthnicGroup |
P1898
|
FINISHED |
| Object | Itsekiri |
E288442
|
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: Itsekiri | Statement: [South South, containsEthnicGroup, Itsekiri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Itsekiri Context triple: [South South, containsEthnicGroup, Itsekiri]
-
A.
Itsekiri
chosen
The Itsekiri are a coastal ethnic group of the Niger Delta region in southern Nigeria, historically known as skilled traders and intermediaries in West African maritime commerce.
-
B.
Riasti
Riasti is a regional dialect of the Saraiki language spoken primarily in parts of southern Punjab, Pakistan.
-
C.
Vaalimaa
Vaalimaa is a major road border crossing point between Finland and Russia, located in southeastern Finland near the Gulf of Finland.
-
D.
Yedina
Yedina is an ethnic group living around Lake Chad, particularly on its islands and shores, known for their fishing and pastoralist lifestyle.
-
E.
Issel
Issel is a surname most notably associated with Dan Issel, a Hall of Fame American basketball player and coach.
- 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_69d6ab2945d081908a5851c916cbcfb5 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8be1b6a5c81909a18c54205dda09c |
completed | April 10, 2026, 9:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f281d8c65081908ebaf4bff5670c47 |
completed | April 29, 2026, 10:10 p.m. |
Created at: April 8, 2026, 9:44 p.m.