Triple
T7723984
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | mainland Tanzania |
E175082
|
entity |
| Predicate | hasRegion |
P285
|
FINISHED |
| Object | Dar es Salaam Region |
E475392
|
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: Dar es Salaam Region | Statement: [mainland Tanzania, hasRegion, Dar es Salaam Region]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dar es Salaam Region Context triple: [mainland Tanzania, hasRegion, Dar es Salaam Region]
-
A.
Dar es Salaam Region
chosen
Dar es Salaam Region is a coastal administrative region in eastern Tanzania that encompasses the country’s largest city and main economic hub.
-
B.
Iringa Region
Iringa Region is an administrative area in south-central Tanzania known for its highland landscapes and as the gateway to Ruaha National Park, one of the country’s largest wildlife reserves.
-
C.
Dodoma Region
Dodoma Region is an administrative region in central Tanzania that includes the national capital city, Dodoma.
-
D.
Rukwa Region
Rukwa Region is an administrative region in southwestern Tanzania known for its location along Lake Rukwa and its largely rural, agricultural economy.
-
E.
Morogoro Region
Morogoro Region is an administrative region in eastern Tanzania known for its diverse landscapes, agriculture, and proximity to major wildlife areas such as Mikumi National Park.
- 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_69c6995d541c81909eaa646b1a8369a9 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7031279708190a3a5fb64f9206974 |
completed | March 27, 2026, 10:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c9721e3d488190a7e7d0f0e8d0b97f |
completed | March 29, 2026, 6:40 p.m. |
Created at: March 27, 2026, 4:05 p.m.