Triple
T8855549
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Namirembe Hill |
E210747
|
entity |
| Predicate | overlooks |
P1323
|
FINISHED |
| Object | Kampala city centre |
E745085
|
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: Kampala city centre | Statement: [Namirembe Hill, overlooks, Kampala city centre]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kampala city centre Context triple: [Namirembe Hill, overlooks, Kampala city centre]
-
A.
Kampala
Kampala is the capital and largest city of Uganda, serving as the country’s political, economic, and cultural center.
-
B.
Entebbe
Entebbe is a town in central Uganda on a peninsula into Lake Victoria, known for its international airport and the site of the 1976 hostage-rescue operation.
-
C.
Kampala District
Kampala District is the central administrative and urban district of Uganda that encompasses the nation’s capital city, Kampala.
-
D.
Kampala Road area
chosen
Kampala Road area is a central commercial and administrative district in Kampala, Uganda, known for its major offices, banks, shops, and heavy traffic.
-
E.
Lipa City
Lipa City is a highly urbanized city in Batangas, Philippines, known as a commercial, educational, and religious center in the Calabarzon 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_69ca838a424c8190b1ecac115c2927e7 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc60c7f51881909c847989f31f203a |
completed | April 1, 2026, 12:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d139a069f881909cc59bad0f110830 |
completed | April 4, 2026, 4:17 p.m. |
Created at: March 30, 2026, 6:49 p.m.