Triple

T20205852
Position Surface form Disambiguated ID Type / Status
Subject Union Pacific Big Boy class locomotives E493346 entity
Predicate classDesignation P974 FINISHED
Object UP class 4000 NE NERFINISHED

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: UP class 4000 | Statement: [Union Pacific Big Boy class locomotives, classDesignation, UP class 4000]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UP class 4000
Context triple: [Union Pacific Big Boy class locomotives, classDesignation, UP class 4000]
  • A. UP 200
    UP 200 is a prominent mid-distance sled dog race held annually in Michigan’s Upper Peninsula, attracting mushers and teams from across North America.
  • B. UP-43
    UP-43 is the motor vehicle registration code assigned to the Gonda district in the Indian state of Uttar Pradesh.
  • C. CP Class 4000
    CP Class 4000 is a series of high-speed electric multiple unit trains operated by Comboios de Portugal, primarily used for the Alfa Pendular tilting services.
  • D. U4
    U4 is a line of the Frankfurt U-Bahn rapid transit system in Frankfurt, Germany.
  • E. U4
    U4 is one of Vienna’s main underground metro lines, running along the city’s central axis and connecting key districts and transport hubs.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: UP class 4000
Target entity description: UP class 4000 refers to Union Pacific’s famous “Big Boy” series of massive 4-8-8-4 articulated steam locomotives, among the largest and most powerful ever built.
  • A. UP 200
    UP 200 is a prominent mid-distance sled dog race held annually in Michigan’s Upper Peninsula, attracting mushers and teams from across North America.
  • B. UP-43
    UP-43 is the motor vehicle registration code assigned to the Gonda district in the Indian state of Uttar Pradesh.
  • C. CP Class 4000
    CP Class 4000 is a series of high-speed electric multiple unit trains operated by Comboios de Portugal, primarily used for the Alfa Pendular tilting services.
  • D. U4
    U4 is a line of the Frankfurt U-Bahn rapid transit system in Frankfurt, Germany.
  • E. U4
    U4 is one of Vienna’s main underground metro lines, running along the city’s central axis and connecting key districts and transport hubs.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: classDesignation
Context triple: [Union Pacific Big Boy class locomotives, classDesignation, UP class 4000]
  • A. hasDesignation chosen
    Indicates that an entity holds or is assigned a specific title, label, or formal designation.
  • B. exportDesignation
    Indicates that something is assigned a specific status or classification for export-related purposes, such as regulatory, legal, or logistical handling.
  • C. designationCategory
    Indicates the classification or type of designation assigned to an entity within a broader designation system.
  • D. designationType
    Indicates the specific category or kind of formal status, title, or label that has been assigned in a designation relationship.
  • E. sideDesignation
    Indicates how an entity is classified or labeled with respect to a particular side, position, or alignment within a relationship 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_69da6269614c8190bb40475d9d477358 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66d922ebc8190ae012da8ceba74dd completed April 20, 2026, 6:16 p.m.
PD Predicate disambiguation batch_69e55b14c9d8819095453d0504d9222f completed April 19, 2026, 10:45 p.m.
Created at: April 11, 2026, 11:38 p.m.