Triple
T37992556
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toronto—Danforth |
E947854
|
entity |
| Predicate | borderEastApproximate |
P12818
|
FINISHED |
| Object | Victoria Park Avenue area |
—
|
NE NERFINISHED |
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: Victoria Park Avenue area | Statement: [Toronto—Danforth, borderEastApproximate, Victoria Park Avenue area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: borderEastApproximate Context triple: [Toronto—Danforth, borderEastApproximate, Victoria Park Avenue area]
-
A.
borderRegion
chosen
Indicates a region that lies along or near the boundary separating two distinct geographic or political areas.
-
B.
boundaryTypeEast
Indicates the type or nature of the boundary that lies to the east of a given entity.
-
C.
borderCountrySide
Indicates that one country shares a land border with the side or region of another country.
-
D.
borderRegionOf
Indicates that one region lies along, touches, or forms part of the boundary of another region.
-
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_69f76efa37088190be5416b7ef1ca275 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a00233e2170819084bee0c8f74cc1a4 |
completed | May 10, 2026, 6:18 a.m. |
| PD | Predicate disambiguation | batch_6a0022943fd08190b73007f080d5971d |
completed | May 10, 2026, 6:15 a.m. |
Created at: May 3, 2026, 4:20 p.m.