Triple
T19790493
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Line (Tanzania) |
E475395
|
entity |
| Predicate | connects |
P390
|
FINISHED |
| Object | Tabora |
—
|
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: Tabora | Statement: [Central Line (Tanzania), connects, Tabora]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tabora Context triple: [Central Line (Tanzania), connects, Tabora]
-
A.
Tabora
chosen
Tabora is a historic town in western Tanzania known as a regional trade center and former hub of 19th-century caravan routes.
-
B.
Bosambo
Bosambo is a prominent fictional African chief featured in Edgar Wallace’s "Sanders of the River" stories, known for his cunning, charisma, and complex relationship with colonial authority.
-
C.
Massinga
Massinga is a coastal town in southern Mozambique that serves as an important local center within Inhambane Province.
-
D.
Babati
Babati is a town in northern Tanzania that serves as an administrative and commercial hub near Lake Babati and the Tarangire National Park.
-
E.
Kasindi
Kasindi is a border town in eastern Democratic Republic of the Congo, located near Uganda and serving as an important regional trade and transport 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_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.