Triple

T26781016
Position Surface form Disambiguated ID Type / Status
Subject Autoroute 440 (Laval) E670244 entity
Predicate isUrbanSectionOf P80700 FINISHED
Object Quebec Autoroute 440 corridor
The Quebec Autoroute 440 corridor is a major east–west freeway route in the Laval area that serves as a key transportation link for commuters and regional traffic north of Montreal.
E1791344 NE 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: Quebec Autoroute 440 corridor | Statement: [Autoroute 440 (Laval), isUrbanSectionOf, Quebec Autoroute 440 corridor]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Quebec Autoroute 440 corridor
Triple: [Autoroute 440 (Laval), isUrbanSectionOf, Quebec Autoroute 440 corridor]
Generated description
The Quebec Autoroute 440 corridor is a major east–west freeway route in the Laval area that serves as a key transportation link for commuters and regional traffic north of Montreal.

Provenance (5 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_69f6197ad524819086c1e2de6a3b52a9 completed May 2, 2026, 3:34 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12f6f8014481909c7352b6a9cd7e50 completed May 24, 2026, 1:02 p.m.
NEDg Description generation batch_6a12f79fed1c81908af492a3fd35f82d completed May 24, 2026, 1:05 p.m.
NED2 Entity disambiguation (via description) batch_6a12fbae881c8190a13234bf6ad26f8f completed May 24, 2026, 1:22 p.m.
Created at: April 27, 2026, 4:09 a.m.