Triple
T12225894
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ekpeye |
E291350
|
entity |
| Predicate | neighboringEthnicGroup |
P11274
|
FINISHED |
| Object | Ogba |
E983007
|
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: Ogba | Statement: [Ekpeye, neighboringEthnicGroup, Ogba]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ogba Context triple: [Ekpeye, neighboringEthnicGroup, Ogba]
-
A.
Ogba
Ogba is a bustling mixed-use neighborhood in Lagos, Nigeria, known for its residential estates, markets, and small-to-medium-scale businesses.
-
B.
Ogba
chosen
Ogba is an ethnic group and local government area in Rivers State, Nigeria, known for its distinct language and rich cultural traditions.
-
C.
Ogwa
Ogwa is a town located within Aniocha South Local Government Area in Delta State, southern Nigeria.
-
D.
Ogbia
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.
-
E.
Ogbadibo
Ogbadibo is a local government area in Benue State, Nigeria, predominantly inhabited by the Idoma people.
- 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_69d6ab668acc8190963ba424049d6aee |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91ca2101c8190955c36704935036a |
completed | April 10, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f64b873c308190a2c1d02723cfa2e9 |
completed | May 2, 2026, 7:07 p.m. |
Created at: April 8, 2026, 9:51 p.m.