Triple

T19370394
Position Surface form Disambiguated ID Type / Status
Subject Baie-D’Urfé station E484518 entity
Predicate partOf P40 FINISHED
Object Exo rail system
The Exo rail system is the commuter rail network serving the Greater Montreal area in Quebec, Canada.
E1372640 NE FINISHED

How this triple was built (4 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: Exo rail system | Statement: [Baie-D’Urfé station, partOf, Exo rail system]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Exo rail system
Context triple: [Baie-D’Urfé station, partOf, Exo rail system]
  • A. ExpressRail system
    The ExpressRail system is a dedicated on-dock rail network at the Port of New York and New Jersey that moves containerized cargo efficiently between marine terminals and inland destinations.
  • B. AeroTrain
    AeroTrain is an automated underground people mover system that transports passengers between terminals at Washington Dulles International Airport.
  • C. Metropolitan Area Express
    Metropolitan Area Express is the official name of Portland, Oregon’s MAX Light Rail public transit system.
  • D. Rapid Rail
    Rapid Rail is a Malaysian public transport operator responsible for running several urban rail transit lines in the Greater Kuala Lumpur area.
  • E. Rail Express Systems
    Rail Express Systems was a British Rail sector responsible for operating mail and parcels trains across the UK rail network in the 1990s.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Exo rail system
Triple: [Baie-D’Urfé station, partOf, Exo rail system]
Generated description
The Exo rail system is the commuter rail network serving the Greater Montreal area in Quebec, Canada.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Exo rail system
Target entity description: The Exo rail system is the commuter rail network serving the Greater Montreal area in Quebec, Canada.
  • A. ExpressRail system
    The ExpressRail system is a dedicated on-dock rail network at the Port of New York and New Jersey that moves containerized cargo efficiently between marine terminals and inland destinations.
  • B. AeroTrain
    AeroTrain is an automated underground people mover system that transports passengers between terminals at Washington Dulles International Airport.
  • C. Metropolitan Area Express
    Metropolitan Area Express is the official name of Portland, Oregon’s MAX Light Rail public transit system.
  • D. Rapid Rail
    Rapid Rail is a Malaysian public transport operator responsible for running several urban rail transit lines in the Greater Kuala Lumpur area.
  • E. Rail Express Systems
    Rail Express Systems was a British Rail sector responsible for operating mail and parcels trains across the UK rail network in the 1990s.
  • F. None of above. chosen

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_69d8e8d305088190ad13571532aa454c completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e619af33e481908643f8beb2f498dc completed April 20, 2026, 12:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a072419c4ec8190931c1918450f2a83 completed May 15, 2026, 1:48 p.m.
NEDg Description generation batch_6a0725c32c4c8190bb29a764695cd245 completed May 15, 2026, 1:55 p.m.
NED2 Entity disambiguation (via description) batch_6a0726ea260c8190b97e2b18fde36272 completed May 15, 2026, 2 p.m.
Created at: April 10, 2026, 1:35 p.m.