Triple
T20628101
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greater Kampala Metropolitan Area |
E506873
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Kira Town |
—
|
NE NERFINISHED |
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: Kira Town | Statement: [Greater Kampala Metropolitan Area, contains, Kira Town]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kira Town Context triple: [Greater Kampala Metropolitan Area, contains, Kira Town]
-
A.
Kira Town
chosen
Kira Town is a rapidly growing urban municipality in central Uganda that functions as a major residential and commercial suburb of Kampala.
-
B.
Wakuya Town
Wakuya Town is a small rural municipality in northeastern Japan known for its historical gold mining heritage and scenic countryside.
-
C.
Yoron Town
Yoron Town is a small island municipality in Kagoshima Prefecture, Japan, known for its subtropical climate, coral reefs, and white-sand beaches.
-
D.
Ochi Town
Ochi Town is a small rural municipality in Japan known for its scenic riverside landscapes and traditional countryside lifestyle within Kōchi Prefecture on Shikoku Island.
-
E.
Nōmi Town
Nōmi Town was a former municipality in Hiroshima Prefecture, Japan, that later became part of the city of Etajima through a merger.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4bd4a0081908d4e97a590a33fb2 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6abe645888190b639ebedc5b3041a |
completed | April 20, 2026, 10:42 p.m. |
Created at: April 16, 2026, 11:42 a.m.