Triple
T26781017
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Autoroute 440 (Laval) |
E670244
|
entity |
| Predicate | servesLocalDestinations |
P30653
|
FINISHED |
| Object | commercial areas in Laval |
—
|
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: commercial areas in Laval | Statement: [Autoroute 440 (Laval), servesLocalDestinations, commercial areas in Laval]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servesLocalDestinations Context triple: [Autoroute 440 (Laval), servesLocalDestinations, commercial areas in Laval]
-
A.
servesDestinationCount
Indicates the number of distinct destinations that an entity (such as a service, route, or provider) serves.
-
B.
servedDestination
Indicates that a service or action is directed toward, or provided to, a particular destination.
-
C.
servesDestinationType
chosen
Indicates that an entity provides service to, or is intended for use with, a specific type or category of destination.
-
D.
servesLocalTraffic
Indicates that something (such as a road, route, or service) is primarily intended to accommodate or support traffic originating from or destined to nearby or surrounding areas rather than long-distance or through traffic.
-
E.
servesRemoteArea
Indicates that an entity provides services or support to people or locations in geographically remote or hard-to-reach areas.
- 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_69eeb31c925881909b597f6e40056d28 |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f7bbf906d8819099020e548dd56bc9 |
completed | May 3, 2026, 9:19 p.m. |
| PD | Predicate disambiguation | batch_69f7b9a2dcf88190a7c9e109e41267be |
completed | May 3, 2026, 9:09 p.m. |
Created at: April 27, 2026, 4:09 a.m.