Triple
T34995951
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bakassi |
E1009526
|
entity |
| Predicate | demographicIssue |
P3838
|
FINISHED |
| Object | population with Nigerian nationality |
—
|
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: population with Nigerian nationality | Statement: [Bakassi, demographicIssue, population with Nigerian nationality]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: demographicIssue Context triple: [Bakassi, demographicIssue, population with Nigerian nationality]
-
A.
demographicChallenge
Indicates a situation where population trends (such as aging, low birth rates, or migration patterns) create significant social, economic, or policy pressures that must be addressed.
-
B.
demographicImpact
chosen
Indicates how an action, event, or condition affects the size, structure, or composition of a population.
-
C.
demographics
Indicates the relationship of providing or characterizing statistical information about a population’s attributes, such as age, gender, income, or education.
-
D.
demographicPolicy
Indicates a relationship where an authority or organization establishes or applies rules and measures intended to influence the size, structure, or composition of a population.
-
E.
demographicBasis
Indicates that something is determined, classified, or justified based on demographic characteristics such as age, gender, ethnicity, or similar population attributes.
- 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_69f76dca50dc8190b71f39defe186be8 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78710282c81909146dc0be91e983f |
completed | May 3, 2026, 5:34 p.m. |
| PD | Predicate disambiguation | batch_69f784162134819098413482ef52042f |
completed | May 3, 2026, 5:21 p.m. |
Created at: May 3, 2026, 4:01 p.m.