Triple
T33599965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Unity Platform |
E860688
|
entity |
| Predicate | hasYouthBase |
P176950
|
FINISHED |
| Object | urban youth in Uganda |
—
|
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: urban youth in Uganda | Statement: [National Unity Platform, hasYouthBase, urban youth in Uganda]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasYouthBase Context triple: [National Unity Platform, hasYouthBase, urban youth in Uganda]
-
A.
hasYouthTeam
Indicates that an entity has an associated youth team that serves as its junior or developmental squad.
-
B.
hasYouthBrand
Indicates that an entity is associated with or owns a brand specifically targeted at young people.
-
C.
hasYouthProgram
Indicates that an entity offers or is associated with an organized program or set of activities specifically designed for young people.
-
D.
isYouthEquivalentOf
Indicates that one entity is the youth or junior counterpart of another, typically representing a younger or age-specific version of the same role, group, or category.
-
E.
youthTier
Indicates a classification relationship where an entity is assigned to a specific youth-related level, category, or bracket within a tiered system.
- 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_69f3497f35908190a2e9bbb9b96c7a3f |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6f8164698819090c1b471f1caa4c6 |
completed | May 3, 2026, 7:24 a.m. |
| PD | Predicate disambiguation | batch_69f6f6632dfc8190af85e258c8519207 |
completed | May 3, 2026, 7:16 a.m. |
| PDg | Predicate description generation | batch_69f6f70b0ca081908b24a98937e6ef66 |
completed | May 3, 2026, 7:19 a.m. |
Created at: May 1, 2026, 1:41 a.m.