Triple
T17734995
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Imo River |
E442689
|
entity |
| Predicate | passesNear |
P416
|
FINISHED |
| Object | Okigwe |
—
|
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: Okigwe | Statement: [Imo River, passesNear, Okigwe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Okigwe Context triple: [Imo River, passesNear, Okigwe]
-
A.
Okigwe
chosen
Okigwe is a town and major local government area in southeastern Nigeria known as an important commercial and educational center within Imo State.
-
B.
Kamen-na-Obi
Kamen-na-Obi is a town in Altai Krai, Russia, situated on the Ob River and known as a local industrial and transport center.
-
C.
Wekweètì
Wekweètì is a small Tłı̨chǫ (Dogrib) First Nations community in the Northwest Territories of Canada.
-
D.
Rumuokwuta
Rumuokwuta is a prominent urban town in Rivers State, Nigeria, forming part of the greater Port Harcourt metropolitan area.
-
E.
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.
- 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e478e98a00819089490be2aa36873d |
completed | April 19, 2026, 6:40 a.m. |
Created at: April 10, 2026, 10:08 a.m.