Triple
T36530879
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Korean-Canadian |
E900438
|
entity |
| Predicate | officialStatisticsSource |
P38364
|
FINISHED |
| Object | Statistics Canada |
—
|
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: Statistics Canada | Statement: [Korean-Canadian, officialStatisticsSource, Statistics Canada]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officialStatisticsSource Context triple: [Korean-Canadian, officialStatisticsSource, Statistics Canada]
-
A.
demographicsSource
Indicates the origin or provider from which demographic information about an entity is obtained.
-
B.
hasOfficialStatisticsBasis
Indicates that something is grounded in, derived from, or justified by official statistical data or sources.
-
C.
hasStatisticsAgency
chosen
Indicates that an entity is officially served or overseen by a particular statistics agency responsible for collecting and providing its statistical data.
-
D.
economicDataSource
Indicates the source or origin from which economic data or statistics are obtained or derived.
-
E.
populationExchange
Indicates a transfer or swap of populations between two places or groups, typically involving people moving out of one and into another.
- 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_69f76e5fbb388190b70c4c15573c8143 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a002ae74da08190a4b47e0ff0f7f8fe |
completed | May 10, 2026, 6:51 a.m. |
| PD | Predicate disambiguation | batch_6a0029cc369c81909578e52c4a75ab18 |
completed | May 10, 2026, 6:46 a.m. |
Created at: May 3, 2026, 4:11 p.m.