Triple
T16767652
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Izon language |
E407507
|
entity |
| Predicate | alternativeName |
P39
|
FINISHED |
| Object | Izon-Ijo |
E1231978
|
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: Izon-Ijo | Statement: [Izon language, alternativeName, Izon-Ijo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Izon-Ijo Context triple: [Izon language, alternativeName, Izon-Ijo]
-
A.
Nembe-Ijo
chosen
Nembe-Ijo is an Ijoid language spoken primarily by the Nembe people in Bayelsa State in Nigeria’s Niger Delta region.
-
B.
Ikwuano
Ikwuano is a local government area in southeastern Nigeria known for its predominantly agrarian communities and cultural heritage within Abia State.
-
C.
Ojowo
Ojowo is a town within the Ijebu North area of Ogun State in southwestern Nigeria.
-
D.
Ijoko
Ijoko is a historically significant Awori settlement in southwestern Nigeria that has grown into an important peri-urban community within the Lagos–Ogun metropolitan area.
-
E.
Isheagu
Isheagu is a town in Delta State, Nigeria, located within the Aniocha South Local Government Area.
- 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_69d8839174188190909f190097207065 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b033d6b88190a1366a58d63b0546 |
completed | April 18, 2026, 4:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00aafa19888190bb7f96591f363867 |
completed | May 10, 2026, 3:57 p.m. |
Created at: April 10, 2026, 5:21 a.m.