Triple
T19994777
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mto wa Mbu |
E494163
|
entity |
| Predicate | transportConnection |
P1298
|
FINISHED |
| Object | Arusha–Ngorongoro–Serengeti road corridor |
—
|
NE NERFINISHED |
How this triple was built (3 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: Arusha–Ngorongoro–Serengeti road corridor | Statement: [Mto wa Mbu, transportConnection, Arusha–Ngorongoro–Serengeti road corridor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arusha–Ngorongoro–Serengeti road corridor Context triple: [Mto wa Mbu, transportConnection, Arusha–Ngorongoro–Serengeti road corridor]
-
A.
Nairobi–Arusha corridor
The Nairobi–Arusha corridor is a major cross-border transport route linking Kenya’s capital Nairobi with Arusha in northern Tanzania, facilitating regional trade, tourism, and movement within East Africa.
-
B.
Arusha–Dar es Salaam corridor
The Arusha–Dar es Salaam corridor is a major transport route in Tanzania linking the northern city of Arusha with the coastal commercial capital Dar es Salaam, facilitating regional trade and travel.
-
C.
Arusha–Moshi road
The Arusha–Moshi road is a major highway in northern Tanzania that links the cities of Arusha and Moshi, serving as a key route for regional travel and tourism to nearby national parks and Mount Kilimanjaro.
-
D.
Arusha–Dodoma road
The Arusha–Dodoma road is a major Tanzanian highway linking the northern city of Arusha with the national capital, Dodoma, and serving as an important route for regional travel and trade.
-
E.
Arusha–Namanga road
The Arusha–Namanga road is a major highway linking northern Tanzania with Kenya, serving as a key route for cross-border trade and travel between the two countries.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Arusha–Ngorongoro–Serengeti road corridor Target entity description: The Arusha–Ngorongoro–Serengeti road corridor is a major tourism and transport route in northern Tanzania linking the city of Arusha with the Ngorongoro Conservation Area and Serengeti National Park.
-
A.
Nairobi–Arusha corridor
The Nairobi–Arusha corridor is a major cross-border transport route linking Kenya’s capital Nairobi with Arusha in northern Tanzania, facilitating regional trade, tourism, and movement within East Africa.
-
B.
Arusha–Dar es Salaam corridor
The Arusha–Dar es Salaam corridor is a major transport route in Tanzania linking the northern city of Arusha with the coastal commercial capital Dar es Salaam, facilitating regional trade and travel.
-
C.
Arusha–Moshi road
The Arusha–Moshi road is a major highway in northern Tanzania that links the cities of Arusha and Moshi, serving as a key route for regional travel and tourism to nearby national parks and Mount Kilimanjaro.
-
D.
Arusha–Dodoma road
The Arusha–Dodoma road is a major Tanzanian highway linking the northern city of Arusha with the national capital, Dodoma, and serving as an important route for regional travel and trade.
-
E.
Arusha–Namanga road
The Arusha–Namanga road is a major highway linking northern Tanzania with Kenya, serving as a key route for cross-border trade and travel between the two countries.
- F. None of above. chosen
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_69da626b2d748190886981ea90c8b2ea |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e65fe306548190a6924ce3798a4d3d |
completed | April 20, 2026, 5:18 p.m. |
Created at: April 11, 2026, 3:31 p.m.