Triple
T10070628
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mazinaw Lake |
E213613
|
entity |
| Predicate | maximumDepthRankInOntario |
P1536
|
FINISHED |
| Object | one of the deepest lakes in southern Ontario |
—
|
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 deepest lakes in southern Ontario | Statement: [Mazinaw Lake, maximumDepthRankInOntario, one of the deepest lakes in southern Ontario]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maximumDepthRankInOntario Context triple: [Mazinaw Lake, maximumDepthRankInOntario, one of the deepest lakes in southern Ontario]
-
A.
depthRank
chosen
Indicates the relative ordering of entities based on how deep or distant they are along a specified depth dimension or hierarchy.
-
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.
highestRankIn
Indicates that one entity holds the top or most senior rank within a specified group, category, or context relative to other entities.
-
E.
rankBySurfaceAreaInCanada
Indicates the relative ordering of entities based on the size of their surface area within the geographic boundaries of Canada.
- 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_69ca839add308190b57d53b4ec21f2d0 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdcffa045c8190a08db0bb74cb006a |
completed | April 2, 2026, 2:10 a.m. |
| PD | Predicate disambiguation | batch_69cd4b92573481909389bc6148ae7ea8 |
completed | April 1, 2026, 4:45 p.m. |
Created at: March 30, 2026, 8:59 p.m.