Triple
T23866366
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ville-Marie—Le Sud-Ouest—Île-des-Sœurs |
E592589
|
entity |
| Predicate | urbanRiding |
P36977
|
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: [Ville-Marie—Le Sud-Ouest—Île-des-Sœurs, urbanRiding, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: urbanRiding Context triple: [Ville-Marie—Le Sud-Ouest—Île-des-Sœurs, urbanRiding, true]
-
A.
viaCity
Indicates that a route, journey, or connection passes through or includes a specified city as an intermediate point.
-
B.
bicycleUse
Indicates that an entity makes use of a bicycle for transportation, activity, or other purposes.
-
C.
isSuburbanRidingOf
chosen
Indicates that one area or jurisdiction is a suburban electoral riding (district) associated with a larger urban center or region.
-
D.
usesBike
Indicates that an entity regularly rides or employs a bicycle as a means of transportation or activity.
-
E.
capitalCityRiding
Indicates that a political riding or electoral district contains or corresponds to the capital city of a given region or jurisdiction.
- 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_69e25d22eb488190914b193aff952e83 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1cae47b40819080d1c5294ee59066 |
completed | April 29, 2026, 9:09 a.m. |
| PD | Predicate disambiguation | batch_69f1614a65a88190bde1efb368a151e4 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 8:13 p.m.