Triple
T12299010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Atiku Abubakar |
E293166
|
entity |
| Predicate | ranForOfficeInElection |
P54735
|
FINISHED |
| Object | 2019 Nigerian presidential 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: 2019 Nigerian presidential election | Statement: [Atiku Abubakar, ranForOfficeInElection, 2019 Nigerian presidential election]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ranForOfficeInElection Context triple: [Atiku Abubakar, ranForOfficeInElection, 2019 Nigerian presidential election]
-
A.
ranInElection
chosen
Indicates that an entity was a candidate participating in a specific election.
-
B.
campaignForOffice
Indicates that an individual is actively seeking election to a public office or position through an organized political campaign.
-
C.
electionForOffice
Indicates that an election event is held to select or fill a specific office or position.
-
D.
ranForOfficeWithParty
Indicates that a person was a candidate in an election representing or affiliated with a specific political party.
-
E.
partyInElection
Indicates that a political party participates as a contestant or actor in a specific election.
- 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_69d6ab6a2b50819082f6aedd32ed608a |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f621570819091ee1db2609233ea |
completed | April 10, 2026, 6:20 p.m. |
| PD | Predicate disambiguation | batch_69d93ec02c008190a56aae60a3d9eff6 |
completed | April 10, 2026, 6:17 p.m. |
Created at: April 8, 2026, 9:52 p.m.