Triple
T12225632
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Obio-Akpor |
E291343
|
entity |
| Predicate | languageUsed |
P238
|
FINISHED |
| Object | Ikwerre |
E77303
|
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: Ikwerre | Statement: [Obio-Akpor, languageUsed, Ikwerre]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ikwerre Context triple: [Obio-Akpor, languageUsed, Ikwerre]
-
A.
Ikwerre
chosen
Ikwerre is a Niger-Congo language spoken primarily by the Ikwerre people in Rivers State, Nigeria, particularly in and around Port Harcourt.
-
B.
Ewulu
Ewulu is a town in Aniocha South Local Government Area of Delta State, Nigeria, known as one of the Igbo communities in the region.
-
C.
Isheagu
Isheagu is a town in Delta State, Nigeria, located within the Aniocha South Local Government Area.
-
D.
Ndowe
Ndowe is a Bantu language spoken by the Ndowe people along the coastal region of Equatorial Guinea.
-
E.
N’Guigmi
N’Guigmi is a town and commune in southeastern Niger, located near Lake Chad and serving as an important local center for trade and transport.
- 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_69f6345e63dc81908f711dfb6d3b5a1f |
completed | May 2, 2026, 5:29 p.m. |
Created at: April 8, 2026, 9:51 p.m.