Triple
T29635889
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orange Democratic Movement |
E755712
|
entity |
| Predicate | competedInElection |
P7871
|
FINISHED |
| Object | 2007 Kenyan general election |
—
|
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: 2007 Kenyan general election | Statement: [Orange Democratic Movement, competedInElection, 2007 Kenyan general election]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: competedInElection Context triple: [Orange Democratic Movement, competedInElection, 2007 Kenyan general election]
-
A.
wasOnBallotIn
Indicates that a candidate or option appeared as a choice on the official ballot in a specified election or voting event.
-
B.
electionParticipatedIn
chosen
Indicates that an entity took part as a candidate, voter, organizer, or in another official capacity in a specific election.
-
C.
ranInElection
Indicates that an entity was a candidate participating in a specific election.
-
D.
usedInElection
Indicates that something (such as a resource, tool, or method) was employed or applied as part of conducting an election.
-
E.
electoralCompetitionWith
Indicates a relationship where two or more political actors or parties actively compete against each other in an electoral process for votes or office.
- 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_69f0ef88fbe081908f0ad90c1c413f1c |
completed | April 28, 2026, 5:34 p.m. |
| NER | Named-entity recognition | batch_69f6d6a6b04c8190bee4cf9c00665ef7 |
completed | May 3, 2026, 5:01 a.m. |
| PD | Predicate disambiguation | batch_69f6d26ceb08819091c71c001e954936 |
completed | May 3, 2026, 4:43 a.m. |
Created at: April 28, 2026, 6:44 p.m.