Triple
T22411485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | McGill College Avenue |
E554002
|
entity |
| Predicate | isCommercialStreet |
P72155
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [McGill College Avenue, isCommercialStreet, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isCommercialStreet Context triple: [McGill College Avenue, isCommercialStreet, true]
-
A.
isShoppingStreet
chosen
Indicates that a location functions primarily as a street characterized by a concentration of shops and commercial retail activity.
-
B.
isSideStreetOf
Indicates that one street is a smaller, less prominent road that connects to or branches off from another main street.
-
C.
isCommercialFacility
Indicates that a facility is used primarily for commercial or business-related activities or services.
-
D.
isUrbanStreet
Indicates that a given street is located within an urban area or city environment rather than a rural or suburban setting.
-
E.
isPrimaryCommercialAreaOf
Indicates that one area serves as the main center of commercial activity for another specified place or 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_69e11e4e6ce8819085a1e06d886bf21c |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15943dd84819099e77563da470594 |
completed | April 29, 2026, 1:05 a.m. |
| PD | Predicate disambiguation | batch_69e8989495bc81909d2699fce5992e28 |
completed | April 22, 2026, 9:44 a.m. |
Created at: April 16, 2026, 8:46 p.m.