Triple
T3096789
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parliament of Uganda |
E64612
|
entity |
| Predicate | specialInterestGroupRepresented |
P1074
|
FINISHED |
| Object | youth |
—
|
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: youth | Statement: [Parliament of Uganda, specialInterestGroupRepresented, youth]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: specialInterestGroupRepresented Context triple: [Parliament of Uganda, specialInterestGroupRepresented, youth]
-
A.
sectorRepresented
Indicates that an entity serves as a representative or proxy for a particular sector (such as an industry, domain, or market segment).
-
B.
representsInterestOf
chosen
Indicates that one entity expresses, holds, or embodies an interest, concern, or stake in another entity or subject.
-
C.
memberRepresents
Indicates that one entity serves as an official representative or delegate acting on behalf of another entity within a group, organization, or body.
-
D.
eraRepresented
Indicates that a subject depicts, symbolizes, or stands for a particular historical or temporal era.
-
E.
partyRepresentation
Indicates that one party acts on behalf of, or serves as the representative of, another party in a given context or proceeding.
- 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_69ad857dc98481909e585dc3372e3ed5 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada23cbe3c8190b7ec5cfd464a1ca8 |
completed | March 8, 2026, 4:22 p.m. |
| PD | Predicate disambiguation | batch_69ad9df06ed88190809f0683122caa5a |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:03 p.m.