Triple
T6888922
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rideau Canal Skateway |
E158994
|
entity |
| Predicate | maximumArea |
P22930
|
FINISHED |
| Object | approximately 165,000 square metres of ice |
—
|
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: approximately 165,000 square metres of ice | Statement: [Rideau Canal Skateway, maximumArea, approximately 165,000 square metres of ice]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maximumArea Context triple: [Rideau Canal Skateway, maximumArea, approximately 165,000 square metres of ice]
-
A.
hasLargestAreaOf
Indicates that the subject entity possesses the greatest area (size of surface or region) compared to the other entities in the specified set or context.
-
B.
maximumNumber
Indicates that one entity specifies the highest allowable or observed quantity, value, or count associated with another entity.
-
C.
maximumExtent
chosen
Indicates the greatest or furthest degree, size, or range to which something can extend or apply within a given context.
-
D.
maximumWeight
Indicates the greatest allowable or observed weight value associated with an entity or relationship.
-
E.
maximumMagnitude
Indicates the greatest absolute value or intensity that a quantity, measurement, or effect can reach within a given context.
- 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_69c6883568c8819081db6407e892cccc |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d9117c84819093dad7b765337b63 |
completed | March 27, 2026, 7:22 p.m. |
| PD | Predicate disambiguation | batch_69c6d7b53e9881909ec298daa9f1913b |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:23 p.m.