Triple
T13415844
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prince George, British Columbia |
E313211
|
entity |
| Predicate | metroPopulationCensus2021 |
P1070
|
FINISHED |
| Object | approximately 89,000 |
—
|
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: approximately 89,000 | Statement: [Prince George, British Columbia, metroPopulationCensus2021, approximately 89,000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: metroPopulationCensus2021 Context triple: [Prince George, British Columbia, metroPopulationCensus2021, approximately 89,000]
-
A.
metroPopulationContext
Indicates that the population value is measured or interpreted specifically within the context of a metropolitan area (metro region) rather than another geographic or administrative unit.
-
B.
municipalityPopulation
Indicates the total number of inhabitants living within a given municipality.
-
C.
populationCensus2021
Indicates that a population count or demographic data is recorded as part of the 2021 census.
-
D.
metropolitanAreaPopulationApproximate
chosen
Indicates that the predicate specifies an approximate total population size for a given metropolitan area.
-
E.
cityPopulationContext
Indicates the contextual relationship between a city and information about its population, such as size, distribution, or demographic characteristics.
- 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_69d806ad0c44819088833ae1ec9e9690 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaeb6e904819098cc9153fd2feaf5 |
completed | April 12, 2026, 2:39 p.m. |
| PD | Predicate disambiguation | batch_69d9a0355de48190bb3fb96912e20df3 |
completed | April 11, 2026, 1:13 a.m. |
Created at: April 9, 2026, 9:39 p.m.