Triple
T7492659
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shinyanga Region |
E177042
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object | Geita Region |
E51099
|
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: Geita Region | Statement: [Shinyanga Region, borders, Geita Region]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Geita Region Context triple: [Shinyanga Region, borders, Geita Region]
-
A.
Geita Region
chosen
Geita Region is an administrative region in northwestern Tanzania, known for its significant gold mining activities and proximity to Lake Victoria.
-
B.
Hokusetsu region
The Hokusetsu region is an area in northern Osaka Prefecture, Japan, known for its suburban cities and natural landscapes centered around the Hokusetsu Mountains.
-
C.
Tajima region
The Tajima region is a northern area of Hyōgo Prefecture in Japan, known for its rural landscapes, hot springs, and the origin of the famed Tajima-gyu cattle used for Kobe beef.
-
D.
Chikuho region
The Chikuho region is a former coal-mining area in central Fukuoka Prefecture, Japan, known for its industrial history and working-class culture.
-
E.
Oshikoto Region
Oshikoto Region is an administrative region in northern Namibia known for its mix of rural communities, agriculture, and the town of Tsumeb as its economic center.
- 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_69c69f2583808190bd1a4936c42a5815 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f5784c908190b701959daf082625 |
completed | March 27, 2026, 9:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c9742fd0dc8190a154cf83c87eb508 |
completed | March 29, 2026, 6:49 p.m. |
Created at: March 27, 2026, 3:43 p.m.