Triple
T19467972
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Equatoria region |
E487047
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object | Yambio |
—
|
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: Yambio | Statement: [Equatoria region, hasMajorCity, Yambio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yambio Context triple: [Equatoria region, hasMajorCity, Yambio]
-
A.
Yambio
chosen
Yambio is a town in southwestern South Sudan that serves as the capital of Western Equatoria State and a regional hub for trade and administration.
-
B.
Ngoumbi
Ngoumbi is an alternative name for the Kombe people, an ethnic group of Central Africa.
-
C.
Yundum
Yundum is a town in The Gambia known for its international airport and proximity to the capital, Banjul.
-
D.
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.
-
E.
Itumbiara
Itumbiara is a municipality in the Brazilian state of Goiás, known for its strategic location on the Paranaíba River and its role as a regional economic and transportation hub.
- 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_69d8e8d86d608190bd199a98d0297f27 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e633e4b230819097c8804ee91988ea |
completed | April 20, 2026, 2:10 p.m. |
Created at: April 10, 2026, 1:39 p.m.