Triple
T28892028
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madina Nalwanga |
E732723
|
entity |
| Predicate | representedRegionInWork |
P38668
|
FINISHED |
| Object | Katwe, Kampala |
—
|
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: Katwe, Kampala | Statement: [Madina Nalwanga, representedRegionInWork, Katwe, Kampala]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: representedRegionInWork Context triple: [Madina Nalwanga, representedRegionInWork, Katwe, Kampala]
-
A.
represented region
chosen
Indicates that one entity serves as a symbolic or formal depiction of a specific geographic or spatial area.
-
B.
reportedRegion
Indicates that a specified region is the one referenced or identified in a report or reporting context.
-
C.
registrationRegion
Indicates the geographic or administrative region in which an entity is officially registered.
-
D.
representsRegionIn
Indicates that one entity serves as a representation or depiction of a specific geographic or administrative region.
-
E.
primaryRegionRepresented
Indicates the main geographic or administrative region that an entity officially represents or speaks for.
- F. None of above.
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_69f05b08c2008190ac426a035a2ed66d |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69fd32848ea88190a71e6df402bbb30e |
completed | May 8, 2026, 12:47 a.m. |
| PD | Predicate disambiguation | batch_69fd2d7e95588190991d5f21e25155df |
completed | May 8, 2026, 12:25 a.m. |
Created at: April 28, 2026, 7:56 a.m.