Triple
T7994191
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Singida Region |
E186081
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object | Tabora Region |
E33430
|
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: Tabora Region | Statement: [Singida Region, borders, Tabora Region]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tabora Region Context triple: [Singida Region, borders, Tabora Region]
-
A.
Tabora Region
chosen
Tabora Region is an inland administrative region in western Tanzania known historically as a key hub for trade and rail transport.
-
B.
Tanga Region
Tanga Region is a coastal administrative region in northeastern Tanzania known for its port city of Tanga, Indian Ocean shoreline, and proximity to the Usambara Mountains.
-
C.
Simiyu Region
Simiyu Region is an administrative region in northern Tanzania known for its predominantly rural economy based on agriculture and livestock.
-
D.
Nyanza region
Nyanza region is an area in western Kenya along Lake Victoria, known for its predominantly Luo population and the city of Kisumu as its main urban center.
-
E.
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.
- 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_69ca829c6c308190ab05b43d234c52b2 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3c73ba388190bcedc29fbdd22f3c |
completed | March 31, 2026, 3:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cecc0d1e148190a6c5043e681ee136 |
completed | April 2, 2026, 8:05 p.m. |
Created at: March 30, 2026, 5:16 p.m.