Triple
T14050406
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rumuola |
E338072
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Rumuodara |
E338074
|
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: Rumuodara | Statement: [Rumuola, locatedNear, Rumuodara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rumuodara Context triple: [Rumuola, locatedNear, Rumuodara]
-
A.
Rumuodara
chosen
Rumuodara is a prominent urban community in Rivers State, Nigeria, forming part of the greater Port Harcourt metropolitan area.
-
B.
Rumuokparali
Rumuokparali is a town in Obio-Akpor Local Government Area of Rivers State, Nigeria, known as one of the area’s significant urban settlements.
-
C.
Rumuomasi
Rumuomasi is a community in Port Harcourt, Rivers State, Nigeria, known as one of the city’s residential and commercial neighborhoods.
-
D.
Romm
Romm is a surname most notably associated with Soviet film director and screenwriter Mikhail Romm.
-
E.
Rumuosi
Rumuosi is a prominent town in Rivers State, Nigeria, situated within the Obio-Akpor Local Government Area and forming part of the greater Port Harcourt metropolitan region.
- 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_69d81c664e48819088cbd8f433aeffe5 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de3c8a518081908ad030ba48b7b946 |
completed | April 14, 2026, 1:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcd099b7788190a7c309dba450e58f |
completed | May 7, 2026, 5:49 p.m. |
Created at: April 9, 2026, 10:20 p.m.