Triple
T17094310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northern Cameroons |
E414804
|
entity |
| Predicate | plebisciteQuestion |
P38649
|
FINISHED |
| Object | union with Nigeria or union with Republic of Cameroon |
—
|
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: union with Nigeria or union with Republic of Cameroon | Statement: [Northern Cameroons, plebisciteQuestion, union with Nigeria or union with Republic of Cameroon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: plebisciteQuestion Context triple: [Northern Cameroons, plebisciteQuestion, union with Nigeria or union with Republic of Cameroon]
-
A.
subjectOfReferendum
chosen
Indicates that something is the issue, proposal, or matter being decided upon in a referendum.
-
B.
typeOfReferendum
Indicates the specific category or kind of referendum that is being held or referred to.
-
C.
referendumRelated
Indicates a relationship where something is connected to, associated with, or arising from a referendum process or its outcomes.
-
D.
plebisciteHeldInYear
Indicates that a plebiscite (a direct vote by the electorate on a specific issue) was held in the specified year.
-
E.
referendumQuestionSide
Indicates the specific position or option (e.g., “Yes” or “No”) associated with a particular referendum question.
- 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_69d886cfc8e88190b05ba466edd35591 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dbfb89348190942984037bd3bd2e |
completed | April 18, 2026, 7:31 p.m. |
| PD | Predicate disambiguation | batch_69e35d67b14481909fcdbdeaa5c34785 |
completed | April 18, 2026, 10:31 a.m. |
Created at: April 10, 2026, 5:35 a.m.