Triple
T27414425
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | province of Quebec |
E692851
|
entity |
| Predicate | areaRankingInCanada |
P54295
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [province of Quebec, areaRankingInCanada, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: areaRankingInCanada Context triple: [province of Quebec, areaRankingInCanada, 1]
-
A.
rankBySurfaceAreaInCanada
chosen
Indicates the relative ordering of entities based on the size of their surface area within the geographic boundaries of Canada.
-
B.
hasPopulationRankInCanada
Indicates the relative position of an entity’s population size compared to other entities within Canada.
-
C.
economicRankInCanada
Indicates the relative economic standing or ranking of an entity within the context of Canada’s economy.
-
D.
regionCanada
Indicates that an entity is located in, associated with, or pertains to the geographic region of Canada.
-
E.
rankByAreaInCanadaIslands
Indicates the numerical position of an island in Canada when all Canadian islands are ordered by their land area from largest to smallest.
- 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_69ef5208617081908f731d312e0fd1bc |
completed | April 27, 2026, 12:09 p.m. |
| NER | Named-entity recognition | batch_69f62d18f3ec8190b1e10f87305e6684 |
completed | May 2, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69f623aaf40081909f947431424a1d55 |
completed | May 2, 2026, 4:17 p.m. |
Created at: April 27, 2026, 12:33 p.m.