Triple
T13981840
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southwestern Uganda |
E336328
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Mbarara city |
E1023322
|
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: Mbarara city | Statement: [Southwestern Uganda, contains, Mbarara city]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mbarara city Context triple: [Southwestern Uganda, contains, Mbarara city]
-
A.
Mbarara
chosen
Mbarara is a major city in southwestern Uganda that serves as a key commercial and transport hub for the region.
-
B.
Soroti
Soroti is a town in eastern Uganda that serves as a regional commercial and administrative center.
-
C.
Nalubaale
Nalubaale is the traditional Luganda name for Lake Victoria, one of Africa’s Great Lakes and the world’s largest tropical lake.
-
D.
Mufulira
Mufulira is a mining town in northern Zambia known for its large copper mines and role in the country's Copperbelt region.
-
E.
Nsukwa
Nsukwa is a town in Aniocha South Local Government Area of Delta State, Nigeria, known as one of the traditional Igbo communities in the region.
- 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_69d81c639e808190a0e4b4f3d31c6a59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2ea10dc88190b9720919a021e570 |
completed | April 14, 2026, 12:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcb6504dcc81908a1dfa5a83ed7b08 |
completed | May 7, 2026, 3:57 p.m. |
Created at: April 9, 2026, 10:18 p.m.