Triple
T2572623
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Black Canadians |
E57698
|
entity |
| Predicate | populationGroupIn |
P2750
|
FINISHED |
| Object | Canadian census |
—
|
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: Canadian census | Statement: [Black Canadians, populationGroupIn, Canadian census]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: populationGroupIn Context triple: [Black Canadians, populationGroupIn, Canadian census]
-
A.
populationDemonym
Indicates the term used to refer to the people or inhabitants associated with a particular place or region.
-
B.
populationClass
Indicates a categorical classification of a population based on shared characteristics, status, or demographic criteria.
-
C.
populationIncludes
chosen
Indicates that a population contains or encompasses the specified individual(s) or subgroup(s) as members or elements.
-
D.
populationCount
Indicates the total number of individuals in a specified group, area, or category.
-
E.
population
Indicates the total number of individuals living in or present within a specified area or group.
- 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_69ab4a51410081908501dcf8bad9adc4 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd3853c848190970e8a2da16d726d |
completed | March 7, 2026, 7:28 a.m. |
| PD | Predicate disambiguation | batch_69abd0ce4dcc8190b17a65abf9bd1bb0 |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:48 p.m.