Triple
T32270134
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christie Street and Bloor Street West, Toronto |
E824392
|
entity |
| Predicate | hasNearbyBusinessArea |
P191961
|
FINISHED |
| Object | Bloor Street West commercial strip |
—
|
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: Bloor Street West commercial strip | Statement: [Christie Street and Bloor Street West, Toronto, hasNearbyBusinessArea, Bloor Street West commercial strip]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNearbyBusinessArea Context triple: [Christie Street and Bloor Street West, Toronto, hasNearbyBusinessArea, Bloor Street West commercial strip]
-
A.
hasNearbyCommercialFacilities
chosen
Indicates that a place is located close to one or more commercial facilities, such as shops, restaurants, or other businesses.
-
B.
nearbyEconomicActivity
Indicates that there is economic activity occurring in close physical proximity to the referenced entity.
-
C.
hasNearbyLandUse
Indicates that one land area is located close to another area characterized by a specific type of land use.
-
D.
hasNearbyFacility
Indicates that one entity is located close to or in the vicinity of a particular facility.
-
E.
operatesNear
Indicates that one entity performs its activities or functions in close physical proximity to another entity.
- 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_69f3490e73588190915f282edd105772 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69ff370698ec81909bb1596d7d4112ba |
completed | May 9, 2026, 1:30 p.m. |
| PD | Predicate disambiguation | batch_69ff3699b6288190b564839cb05f5cf6 |
completed | May 9, 2026, 1:28 p.m. |
Created at: May 1, 2026, 12:42 a.m.