Triple
T6808359
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Montreal region |
E156365
|
entity |
| Predicate | economicRankInCanada |
P73123
|
FINISHED |
| Object | one of the largest metropolitan economies in Canada |
—
|
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: one of the largest metropolitan economies in Canada | Statement: [Montreal region, economicRankInCanada, one of the largest metropolitan economies in Canada]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: economicRankInCanada Context triple: [Montreal region, economicRankInCanada, one of the largest metropolitan economies in Canada]
-
A.
hasPopulationRankInCanada
Indicates the relative position of an entity’s population size compared to other entities within Canada.
-
B.
rankBySurfaceAreaInCanada
Indicates the relative ordering of entities based on the size of their surface area within the geographic boundaries of Canada.
-
C.
economicRankInFrance
Indicates the relative economic standing or ranking of an entity within the context of France’s economy.
-
D.
standardOfLivingRank
Indicates the relative position or ranking of an entity based on its standard of living compared to others.
-
E.
areaRank
Indicates the relative ordering or position of an entity based on the size of its area compared to others.
- F. None of above. chosen
Provenance (4 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_69c68826e6a48190a3d220b541e639de |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d30b56c48190a5b244ea7e0c669a |
completed | March 27, 2026, 6:57 p.m. |
| PD | Predicate disambiguation | batch_69c6d099bf08819089a9f9894d037e74 |
completed | March 27, 2026, 6:46 p.m. |
| PDg | Predicate description generation | batch_69c6d2a8f9188190abbb8c730e7b5edf |
completed | March 27, 2026, 6:55 p.m. |
Created at: March 27, 2026, 2:16 p.m.