Triple

T8110240
Position Surface form Disambiguated ID Type / Status
Subject GO Transit commuter rail lines (Lakeshore East and Stouffville corridors) E189329 entity
Predicate offPeakUsage P24204 FINISHED
Object regional travel and events-related trips 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: regional travel and events-related trips | Statement: [GO Transit commuter rail lines (Lakeshore East and Stouffville corridors), offPeakUsage, regional travel and events-related trips]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: offPeakUsage
Context triple: [GO Transit commuter rail lines (Lakeshore East and Stouffville corridors), offPeakUsage, regional travel and events-related trips]
  • A. usagePeak
    Indicates that the usage or consumption of something reaches its highest level or intensity during a particular time or condition.
  • B. offPeakServicePattern chosen
    Indicates the service pattern or schedule that applies during off-peak (non-rush-hour) times.
  • C. typicalOffPeakServiceTo
    Indicates the usual or standard off-peak (non-peak time) service pattern that operates to a given destination.
  • D. peakHours
    Indicates that an action, event, or condition occurs during the busiest or most heavily trafficked time period.
  • E. peakUse
    Indicates the time, condition, or context in which something reaches its maximum level of use or intensity.
  • 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_69ca82b9d5848190a24672775d5c5011 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb4664fef881908b0dc7b158aca398 completed March 31, 2026, 3:58 a.m.
PD Predicate disambiguation batch_69cb368e7f4c81909aabd7716f0de79d completed March 31, 2026, 2:50 a.m.
Created at: March 30, 2026, 5:32 p.m.