Triple
T35062781
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Autoroute 30 |
E1011637
|
entity |
| Predicate | openedAsBypassAroundMontreal |
P113407
|
FINISHED |
| Object | 2012 |
—
|
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: 2012 | Statement: [Autoroute 30, openedAsBypassAroundMontreal, 2012]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: openedAsBypassAroundMontreal Context triple: [Autoroute 30, openedAsBypassAroundMontreal, 2012]
-
A.
openedAsPartOfTransCanada
Indicates that something was opened as a component or segment of the Trans-Canada system or project.
-
B.
openedAsTramway
Indicates that a transportation line or route was originally inaugurated and operated as a tramway system.
-
C.
openedRouteThrough
Indicates that one entity has created or established a passage, connection, or pathway that allows movement or access through another entity or area.
-
D.
bypassesCity
chosen
Indicates that a route, road, or path goes around a city rather than passing directly through it.
-
E.
openedAsBMTStation
Indicates that an entity first began operation or service specifically as a BMT (Brooklyn–Manhattan Transit) station.
- 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_69f76dd09c308190a523454853ce842b |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fd5d48855c8190bd93070b6a00d8b5 |
completed | May 8, 2026, 3:49 a.m. |
| PD | Predicate disambiguation | batch_69fd5c9aabb88190912800d90184a89d |
completed | May 8, 2026, 3:46 a.m. |
Created at: May 3, 2026, 4:01 p.m.