Triple

T24229121
Position Surface form Disambiguated ID Type / Status
Subject Lachute, Quebec E601677 entity
Predicate roadAccess P385 FINISHED
Object Quebec Autoroute 50
Quebec Autoroute 50 is a major east–west highway in western Quebec that connects the Gatineau–Ottawa region with communities toward the Montreal area, serving as an important regional transportation corridor.
 E1689679 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 50 | Statement: [Lachute, Quebec, roadAccess, Quebec Autoroute 50]
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 50
Triple: [Lachute, Quebec, roadAccess, Quebec Autoroute 50]
Generated description
Quebec Autoroute 50 is a major east–west highway in western Quebec that connects the Gatineau–Ottawa region with communities toward the Montreal area, serving as an important regional transportation corridor.

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_69e29538aafc8190a2386fdebbd1393b completed April 17, 2026, 8:16 p.m.
NER Named-entity recognition batch_69f287e214e88190bf6d5b0f5f489f73 completed April 29, 2026, 10:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a10c1014e9081909f2e36f6eff1cc27 completed May 22, 2026, 8:48 p.m.
NEDg Description generation batch_6a10c20f4f748190bc19a702f0788086 completed May 22, 2026, 8:52 p.m.
NED2 Entity disambiguation (via description) batch_6a10c2b5aab88190ab29798dc74baacf completed May 22, 2026, 8:55 p.m.
Created at: April 18, 2026, 12:01 a.m.