Triple
T27017568
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christie Street |
E680575
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | road in Toronto |
C52383
|
CONCEPT FINISHED |
How this triple was built (1 step)
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: road in Toronto Context triple: [Christie Street, instanceOf, road in Toronto]
-
A.
road in Ottawa
A road in Ottawa is a public thoroughfare within the city’s transportation network that facilitates vehicular, cycling, and pedestrian movement while connecting residential, commercial, and institutional areas.
-
B.
road in Canada
A road in Canada is a constructed transportation route, ranging from local streets to major highways, designed to support vehicular and sometimes pedestrian traffic across the country's diverse and often harsh climatic and geographic conditions.
-
C.
road in London, Ontario
A road in London, Ontario is a designated public thoroughfare within the city’s transportation network that facilitates vehicular, cyclist, and pedestrian movement between local destinations and connecting routes.
-
D.
road in Queens
A road in Queens is a public thoroughfare within the Queens borough of New York City that facilitates vehicular and pedestrian movement while connecting residential, commercial, and industrial areas.
-
E.
street in Montreal
A street in Montreal is a public urban thoroughfare that reflects the city’s blend of historic European-influenced architecture, diverse neighborhoods, bilingual culture, and seasonal climate, supporting vehicular, pedestrian, and often cycling traffic.
- F. None of above. chosen
Provenance (1 batch)
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_69eeeb5450988190bfc9a3c012ac463a |
completed | April 27, 2026, 4:51 a.m. |
Created at: April 27, 2026, 7:07 a.m.