Triple
T33847135
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iteso |
E867511
|
entity |
| Predicate | majorDistrictsUganda |
P199177
|
FINISHED |
| Object | Soroti District |
—
|
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: Soroti District | Statement: [Iteso, majorDistrictsUganda, Soroti District]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorDistrictsUganda Context triple: [Iteso, majorDistrictsUganda, Soroti District]
-
A.
regionInUganda
Indicates that a region or area is geographically located within the country of Uganda.
-
B.
populationRankInUganda
Indicates the relative position of an entity in terms of population size compared to other entities within Uganda.
-
C.
distanceFromKampala
Indicates the measured distance between a given location and the city of Kampala.
-
D.
primaryStatusInUganda
Indicates the primary legal, social, or operational status an entity holds specifically within the context of Uganda.
-
E.
distanceFromJuba_km
Indicates the physical distance, measured in kilometers, between a given location and Juba.
- F. None of above. chosen
Provenance (4 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_69f349937b648190a34ada70f6a2b534 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69ff246e0d4481908bcec718e1d4025b |
completed | May 9, 2026, 12:11 p.m. |
| PD | Predicate disambiguation | batch_69ff23cb70ac81909b776ace4597ae9c |
completed | May 9, 2026, 12:08 p.m. |
| PDg | Predicate description generation | batch_69ff246d53cc81909d5528224149b04b |
completed | May 9, 2026, 12:11 p.m. |
Created at: May 1, 2026, 1:47 a.m.