Triple
T21947662
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Isoko |
E541974
|
entity |
| Predicate | countrySubdivision |
P766
|
FINISHED |
| Object | Isoko South |
—
|
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: Isoko South | Statement: [Isoko, countrySubdivision, Isoko South]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Isoko South Context triple: [Isoko, countrySubdivision, Isoko South]
-
A.
Isoko South
chosen
Isoko South is a local government area in Delta State, Nigeria, predominantly inhabited by the Isoko people and known for its rich oil resources and agricultural activities.
-
B.
Isoko North
Isoko North is a local government area in Delta State, Nigeria, predominantly inhabited by the Isoko people and known for its rich cultural heritage and oil-producing communities.
-
C.
Isoko
Isoko are an ethnic group in southern Nigeria known for their distinct language, rich cultural traditions, and primary presence in the Niger Delta region.
-
D.
Otaya
Otaya is a town in the Eastern Ghouta region of rural Damascus in Syria, known for being heavily affected during the Syrian civil war.
-
E.
Echigoya
Echigoya was a pioneering Edo-period dry-goods store in Japan that evolved into what is now the Mitsukoshi department store chain.
- 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.