Triple

T3942407
Position Surface form Disambiguated ID Type / Status
Subject Amtrak Wolverine service E92063 entity
Predicate maximumAuthorizedSpeed P2096 FINISHED
Object 110 mph on portions of Michigan Line 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: 110 mph on portions of Michigan Line | Statement: [Amtrak Wolverine service, maximumAuthorizedSpeed, 110 mph on portions of Michigan Line]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: maximumAuthorizedSpeed
Context triple: [Amtrak Wolverine service, maximumAuthorizedSpeed, 110 mph on portions of Michigan Line]
  • A. maxSpeed chosen
    Indicates the greatest possible speed at which an entity can move or operate under specified conditions.
  • B. speedLimitCharacteristic
    Indicates that an entity has a specific speed limit property or constraint associated with it.
  • C. hasSpeedLimit
    Indicates that a specified maximum allowable speed is imposed on the associated entity or context.
  • D. hasSpeedLimitRange
    Indicates that there is a specified minimum and maximum speed limit applicable to a given context or segment.
  • E. regulatesSpeedLimitBy
    Indicates that one entity determines, controls, or sets the speed limit applicable to another entity or context.
  • 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_69aed965502c8190904ebad1203a4ae8 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef1515c688190a38332aedeed8a76 completed March 9, 2026, 4:12 p.m.
PD Predicate disambiguation batch_69aee764235081909309b3c982f322a9 completed March 9, 2026, 3:29 p.m.
Created at: March 9, 2026, 3:24 p.m.