Triple
T13804556
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eastern Region of Uganda |
E331727
|
entity |
| Predicate | numberOfMainRegionsInCountry |
P2355
|
FINISHED |
| Object | 4 |
—
|
LITERAL 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: 4 | Statement: [Eastern Region of Uganda, numberOfMainRegionsInCountry, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfMainRegionsInCountry Context triple: [Eastern Region of Uganda, numberOfMainRegionsInCountry, 4]
-
A.
numberOfRegions
chosen
Indicates the total count of distinct regions associated with or contained within a given entity.
-
B.
numberOfMainlandTerritories
Indicates the count of distinct mainland territorial units associated with a given entity.
-
C.
hasNumberOfProvinces
Indicates the total count of provinces associated with a given entity.
-
D.
numberOfProvinces
Indicates the total count of provinces associated with a given entity or within a specified region or country.
-
E.
hasRegionalCentresIn
Indicates that an entity maintains one or more regional centers located in the specified place or area.
- 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_69d81c59f8808190a851bc56afdc55e9 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de026c36108190a7436034a730a261 |
completed | April 14, 2026, 9:01 a.m. |
| PD | Predicate disambiguation | batch_69dbc862e9608190bd8a3d883959b7e4 |
completed | April 12, 2026, 4:29 p.m. |
Created at: April 9, 2026, 10:12 p.m.