Triple
T32405646
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laval, Quebec |
E828070
|
entity |
| Predicate | rankByPopulationInQuebec |
P105964
|
FINISHED |
| Object | third most populous municipality in Quebec |
—
|
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: third most populous municipality in Quebec | Statement: [Laval, Quebec, rankByPopulationInQuebec, third most populous municipality in Quebec]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rankByPopulationInQuebec Context triple: [Laval, Quebec, rankByPopulationInQuebec, third most populous municipality in Quebec]
-
A.
populationRankInQuebec
chosen
Indicates the relative position of an entity in terms of population size compared to other entities within Quebec.
-
B.
hasPopulationRankInCanada
Indicates the relative position of an entity’s population size compared to other entities within Canada.
-
C.
populationRankInBritishColumbia
Indicates the relative position of an entity in terms of population size compared to other entities within British Columbia.
-
D.
rankBySurfaceAreaInCanada
Indicates the relative ordering of entities based on the size of their surface area within the geographic boundaries of Canada.
-
E.
rankByPopulationInManitoba
Indicates the ordering of entities based on their population size within the province of Manitoba.
- 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_69f34919342c8190a4c3bf35a90d4e58 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c24669948190aafbfe64ffbd1e73 |
completed | May 3, 2026, 3:34 a.m. |
| PD | Predicate disambiguation | batch_69f6bd25bed08190befcabd3a41ffadf |
completed | May 3, 2026, 3:12 a.m. |
Created at: May 1, 2026, 12:53 a.m.