Triple
T3309171
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Shore Boulevard West |
E69527
|
entity |
| Predicate | isPartOfRoadNetwork |
P36772
|
FINISHED |
| Object | Toronto road network |
—
|
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: Toronto road network | Statement: [Lake Shore Boulevard West, isPartOfRoadNetwork, Toronto road network]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPartOfRoadNetwork Context triple: [Lake Shore Boulevard West, isPartOfRoadNetwork, Toronto road network]
-
A.
isPublicRoadNetwork
Indicates that a given road network is officially designated for public use and accessible to the general public for transportation.
-
B.
roadNetworkPartOf
chosen
Indicates that one road network segment or component is a constituent part of a larger road network.
-
C.
isPublicRoad
Indicates that a given road is officially designated and accessible for use by the general public.
-
D.
isRoadAccessible
Indicates that a road can be safely and legally used or traversed under the current conditions.
-
E.
hasRoadNetworkQuality
Indicates the assessed level or condition of the road network associated with an 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_69ad859f218081909458d2cebbf57565 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb0e9f33c81909cff835a83e0a657 |
completed | March 8, 2026, 5:24 p.m. |
| PD | Predicate disambiguation | batch_69ada4282730819092aa39c5f9269df0 |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:11 p.m.