Triple
T19895923
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sherbrooke |
E478151
|
entity |
| Predicate | hasPopulationRankInQuebec |
P105964
|
FINISHED |
| Object | sixth-largest city 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: sixth-largest city in Quebec | Statement: [Sherbrooke, hasPopulationRankInQuebec, sixth-largest city in Quebec]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPopulationRankInQuebec Context triple: [Sherbrooke, hasPopulationRankInQuebec, sixth-largest city 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.
hasPopulationRank
Indicates the relative position of an entity in an ordered list based on the size of its population.
-
E.
hasPopulationRankInRegion
Indicates that an entity has a specific population-based rank or position within a defined geographic region.
- 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_69d8e520682081909892916424699bd5 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6593cb45881909cc34a9c601db001 |
completed | April 20, 2026, 4:50 p.m. |
| PD | Predicate disambiguation | batch_69e537ecda248190895c96afb6243823 |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 10, 2026, 1:52 p.m.