Triple
T7366071
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St. Clair Avenue corridor |
E169871
|
entity |
| Predicate | hasNeighbourhoodCharacteristic |
P9356
|
FINISHED |
| Object | mixed-use |
—
|
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: mixed-use | Statement: [St. Clair Avenue corridor, hasNeighbourhoodCharacteristic, mixed-use]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNeighbourhoodCharacteristic Context triple: [St. Clair Avenue corridor, hasNeighbourhoodCharacteristic, mixed-use]
-
A.
neighborhoodCharacteristic
chosen
Indicates that a particular characteristic, feature, or quality is associated with or describes a given neighborhood.
-
B.
hasNeighbourhood
Indicates that one entity is located within, or is associated with, a particular neighborhood area of another entity.
-
C.
hasNeighbourhoodStatus
Indicates that an entity has a particular status, classification, or condition specifically in relation to a given neighbourhood.
-
D.
hasNeighborhoodAssociation
Indicates that an entity is associated with, or falls under the jurisdiction of, a particular neighborhood association.
-
E.
hasNeighborhoodIdentity
Indicates that an entity possesses or is associated with a distinctive neighborhood-based character, culture, or identity.
- 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_69c68a5ade988190885b7175f63b7534 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f26d6d6081909c7272a9ccae0d97 |
completed | March 27, 2026, 9:11 p.m. |
| PD | Predicate disambiguation | batch_69c6f02d36108190bcb34a95e6a30bd7 |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:06 p.m.