Triple
T14098868
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rumuigbo |
E339325
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Rumueme |
E338073
|
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: Rumueme | Statement: [Rumuigbo, near, Rumueme]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rumueme Context triple: [Rumuigbo, near, Rumueme]
-
A.
Rumueme
chosen
Rumueme is a prominent urban community in Rivers State, Nigeria, forming part of the greater Port Harcourt metropolitan area.
-
B.
Rumuomasi
Rumuomasi is a community in Port Harcourt, Rivers State, Nigeria, known as one of the city’s residential and commercial neighborhoods.
-
C.
Rumbia
Rumbia is a town in Indonesia’s Southeast Sulawesi province that serves as a local administrative and population center.
-
D.
Rumuolumeni
Rumuolumeni is a suburban community in Port Harcourt, Rivers State, Nigeria, known for hosting educational institutions and industrial facilities.
-
E.
Ye’kuana
The Ye’kuana are an Indigenous people of the Amazonian region of Venezuela and Brazil, known for their riverine village life, intricate basketry, and rich oral traditions.
- 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_69d81c69b5c8819094aa1abf18302908 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5fba7c10819095b1299b7b4f0310 |
completed | April 14, 2026, 3:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcd0adfc28819097a1bfd56739c286 |
completed | May 7, 2026, 5:49 p.m. |
Created at: April 9, 2026, 10:22 p.m.