Triple
T34605514
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nigerian Peoples Party |
E888586
|
entity |
| Predicate | wonGovernorshipIn |
P179689
|
FINISHED |
| Object | Imo State |
—
|
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: Imo State | Statement: [Nigerian Peoples Party, wonGovernorshipIn, Imo State]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wonGovernorshipIn Context triple: [Nigerian Peoples Party, wonGovernorshipIn, Imo State]
-
A.
wonPresidencyWith
Indicates that one entity attained the presidency by means of, or through the support, strategy, or circumstances provided by, another entity.
-
B.
wonPresidentialElection
Indicates that one entity achieved victory over others in a presidential election.
-
C.
tookOfficeAsGovernorDueTo
Indicates that an individual assumed the position of governor as a result of a specified cause, process, or circumstance.
-
D.
succeededInOfficeAsGovernorBy
Indicates that one individual’s term as governor ended and was directly followed by another individual’s term in the same office.
-
E.
wonPrimary
Indicates that a candidate secured victory in a primary election against their competitors.
- F. None of above. chosen
Provenance (4 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_69f349d489d48190ba30e7d97c6f5ef9 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f7238172748190b8cd340ad1f4ba80 |
completed | May 3, 2026, 10:29 a.m. |
| PD | Predicate disambiguation | batch_69f72155c48881909bd40b9aa3febd5a |
completed | May 3, 2026, 10:20 a.m. |
| PDg | Predicate description generation | batch_69f72349f1108190b6a06758ab2f40bb |
completed | May 3, 2026, 10:28 a.m. |
Created at: May 1, 2026, 2:03 a.m.