Triple
T7794660
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Urambo |
E180268
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Urambo District |
E182639
|
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: Urambo District | Statement: [Urambo, partOf, Urambo District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Urambo District Context triple: [Urambo, partOf, Urambo District]
-
A.
Urambo District
chosen
Urambo District is an administrative district in western Tanzania known for its rural communities and tobacco farming, located within the Tabora Region.
-
B.
Buvuma District
Buvuma District is an administrative district in Uganda that encompasses Buvuma Island and surrounding islands in Lake Victoria.
-
C.
Nzega District
Nzega District is an administrative district in central Tanzania known for its rural communities and agriculture, located within the country’s Tabora Region.
-
D.
Buhera District
Buhera District is an administrative district in eastern Zimbabwe known for its rural communities and agricultural activities.
-
E.
Chiguata District
Chiguata District is an administrative district in southern Peru’s Arequipa region, known for encompassing part of the volcanic area around the Misti volcano.
- 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_69ca827d22208190b4dc5aa680edcf5d |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cae93b262c8190b55e5ab2bc72d894 |
completed | March 30, 2026, 9:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5a0a34fc81908e7852ed0dbc377c |
completed | March 31, 2026, 5:22 a.m. |
Created at: March 30, 2026, 4:31 p.m.