Triple
T29659835
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2017 Kenyan presidential election |
E750374
|
entity |
| Predicate | repeatElectionWinner |
P28286
|
FINISHED |
| Object | Uhuru Kenyatta |
—
|
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: Uhuru Kenyatta | Statement: [2017 Kenyan presidential election, repeatElectionWinner, Uhuru Kenyatta]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: repeatElectionWinner Context triple: [2017 Kenyan presidential election, repeatElectionWinner, Uhuru Kenyatta]
-
A.
reElectionOf
chosen
Indicates that an entity is being elected again to a position or office they have previously held.
-
B.
reElectionYear
Indicates the year in which an entity is (or is scheduled to be) elected again to the same position or office.
-
C.
reElectionType
Indicates the specific manner or category of re-election associated with a given officeholder or electoral event.
-
D.
electionWinner
Indicates that the subject is the candidate who received the highest support and officially won a particular election.
-
E.
nextElectionDeterminedBy
Indicates that the outcome or occurrence of the next election is decided or governed by a specified factor, rule, event, or entity.
- 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_69f0d6226fe881908819197c9ef9ee04 |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f67f7efc3c8190986d2d95b7a23729 |
completed | May 2, 2026, 10:49 p.m. |
| PD | Predicate disambiguation | batch_69f67e40af9881908de3a4aa15f70a83 |
completed | May 2, 2026, 10:44 p.m. |
Created at: April 28, 2026, 6:57 p.m.