Triple
T25021627
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mimico Creek |
E626589
|
entity |
| Predicate | formsBoundaryIn |
P143129
|
FINISHED |
| Object | west end of Toronto |
—
|
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: west end of Toronto | Statement: [Mimico Creek, formsBoundaryIn, west end of Toronto]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formsBoundaryIn Context triple: [Mimico Creek, formsBoundaryIn, west end of Toronto]
-
A.
formsBoundaryType
Indicates that one entity serves as a specific type of boundary for another entity.
-
B.
formsBorderWithin
chosen
Indicates that one entity constitutes a boundary or border located entirely within the spatial extent of another entity.
-
C.
partlyFormsBorderBetween
Indicates that one entity constitutes only a portion of the boundary separating two other entities.
-
D.
formsPartOfBorderType
Indicates that one border type constitutes a component or segment of another, more comprehensive border type.
-
E.
borderWithin
Indicates that one region’s border lies entirely inside the boundary of another 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_69e2ff28ee3881909c626af002457a4a |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f55e519978819087a1676564a74630 |
completed | May 2, 2026, 2:15 a.m. |
| PD | Predicate disambiguation | batch_69f4a0edd10c81908a052ab864d57c54 |
completed | May 1, 2026, 12:47 p.m. |
Created at: April 18, 2026, 6:06 a.m.