Triple
T19790495
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Line (Tanzania) |
E475395
|
entity |
| Predicate | connects |
P390
|
FINISHED |
| Object | Mwanza |
—
|
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: Mwanza | Statement: [Central Line (Tanzania), connects, Mwanza]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mwanza Context triple: [Central Line (Tanzania), connects, Mwanza]
-
A.
Mwanza
chosen
Mwanza is a major port city in northwestern Tanzania, situated on the southern shores of Lake Victoria and serving as a key commercial and transport hub for the region.
-
B.
Muanza
Muanza is a town and district in central Mozambique known for its rural character and location within Sofala Province.
-
C.
Kwanza
Kwanza is a 1969 jazz album by American saxophonist Archie Shepp, known for its blend of avant-garde experimentation and politically charged themes.
-
D.
Nyanza
Nyanza is a region in western Kenya bordering Lake Victoria, known as the homeland of the Luo community and for its rich fishing and agricultural economy.
-
E.
Shuru
Shuru is a dialect of the Berta language spoken by the Berta people of the Ethiopia–Sudan border region.
- 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_69d8e51b014081908b263e167370529a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e653c217bc819092c517b27ca22087 |
completed | April 20, 2026, 4:26 p.m. |
Created at: April 10, 2026, 1:49 p.m.