Triple
T9821330
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2001 Ugandan presidential election |
E238536
|
entity |
| Predicate | termOfOfficeWon |
P78246
|
FINISHED |
| Object | second elected presidential term for Yoweri Museveni |
—
|
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: second elected presidential term for Yoweri Museveni | Statement: [2001 Ugandan presidential election, termOfOfficeWon, second elected presidential term for Yoweri Museveni]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: termOfOfficeWon Context triple: [2001 Ugandan presidential election, termOfOfficeWon, second elected presidential term for Yoweri Museveni]
-
A.
numberOfTermInOffice
chosen
Indicates the specific ordinal count of how many terms an entity has served in a particular office or position.
-
B.
termInOffice
Indicates the period during which an individual officially holds a particular office or position.
-
C.
setsTermOfOfficeFor
Indicates that one entity establishes or defines the duration and conditions of the term of office for another entity.
-
D.
termOfOfficeInaugurated
Indicates the event or date on which an individual officially begins their term of office through an inauguration.
-
E.
termInOfficeContext
Indicates that one entity’s tenure or period of holding an office, role, or position is being specified or contextualized in relation to another entity or timeframe.
- 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_69ca84dfde1481909f47c286d715f892 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb3147ecc81908cfca84c05a367d9 |
completed | April 2, 2026, 12:06 a.m. |
| PD | Predicate disambiguation | batch_69cd03e01ea881909a7d93fc3994ace5 |
completed | April 1, 2026, 11:39 a.m. |
Created at: March 30, 2026, 8:31 p.m.