Triple
T21947647
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Isoko |
E541974
|
entity |
| Predicate | relatedEthnicGroup |
P1969
|
FINISHED |
| Object | Anioma |
—
|
NE NERFINISHED |
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: Anioma | Statement: [Isoko, relatedEthnicGroup, Anioma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anioma Context triple: [Isoko, relatedEthnicGroup, Anioma]
-
A.
Anioma
chosen
Anioma is an Igbo-speaking ethnic subgroup located in the eastern part of Nigeria’s Delta State, known for its distinct cultural identity within the broader Igbo culture.
-
B.
Anozie
Anozie is the surname of British-Nigerian actor Nonso Anozie, known for his roles in film, television, and theatre.
-
C.
Anini
Anini is a remote town in the Dibang Valley district of Arunachal Pradesh in northeastern India, known for its rugged Himalayan terrain and proximity to the Dibang River.
-
D.
Adyumba
Adyumba is a dialect of the Myene language spoken by the Adyumba people of Gabon.
-
E.
Enyeama
Enyeama is a Nigerian surname most prominently associated with Vincent Enyeama, a renowned former goalkeeper and captain of the Nigeria national football team.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c47ef0e48190a50e1bcc43f4b3fd |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1243a2f788190bd4625fa79888696 |
completed | April 28, 2026, 9:18 p.m. |
Created at: April 16, 2026, 7:57 p.m.