Triple
T19613861
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bayelsa East Senatorial District |
E470805
|
entity |
| Predicate | containsCommunity |
P8617
|
FINISHED |
| Object | Ogbia |
—
|
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: Ogbia | Statement: [Bayelsa East Senatorial District, containsCommunity, Ogbia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ogbia Context triple: [Bayelsa East Senatorial District, containsCommunity, Ogbia]
-
A.
Ogbia
chosen
Ogbia is a local government area in Bayelsa State, Nigeria, known for its oil-rich communities and as the birthplace of former Nigerian President Goodluck Jonathan.
-
B.
Ogwa
Ogwa is a town located within Aniocha South Local Government Area in Delta State, southern Nigeria.
-
C.
Ogaranya
Ogaranya is a popular Afrobeat/Afropop song by Nigerian singer Adekunle Gold, known for its catchy melody and celebratory themes of wealth and success.
-
D.
Ogba
Ogba is an ethnic group and local government area in Rivers State, Nigeria, known for its distinct language and rich cultural traditions.
-
E.
Ogba
Ogba is a bustling mixed-use neighborhood in Lagos, Nigeria, known for its residential estates, markets, and small-to-medium-scale businesses.
- 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_69d8e510fa248190b7afb274a1d4cf73 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e640ce272481909688527f72d2c976 |
completed | April 20, 2026, 3:05 p.m. |
Created at: April 10, 2026, 1:43 p.m.