Triple

T30255054
Position Surface form Disambiguated ID Type / Status
Subject EMD GP38-2 E769315 entity
Predicate builderModelDesignation P82737 FINISHED
Object GP38-2
The GP38-2 is a four-axle diesel-electric road switcher locomotive built by General Motors’ Electro-Motive Division and widely used by North American railroads for freight service.
 E1905911 NE FINISHED

How this triple was built (3 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: GP38-2 | Statement: [EMD GP38-2, builderModelDesignation, GP38-2]
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: GP38-2
Triple: [EMD GP38-2, builderModelDesignation, GP38-2]
Generated description
The GP38-2 is a four-axle diesel-electric road switcher locomotive built by General Motors’ Electro-Motive Division and widely used by North American railroads for freight service.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: builderModelDesignation
Context triple: [EMD GP38-2, builderModelDesignation, GP38-2]
  • A. manufacturerDesignation chosen
    Indicates that a specific designation, code, or model identifier has been assigned by the manufacturer to the referenced product or item.
  • B. robotModelDesignation
    Indicates the specific model identifier or designation assigned to a robot.
  • C. vendorDesignation
    Indicates that one entity assigns or recognizes a specific vendor status, label, or role for another entity within a business or procurement context.
  • D. prototypeDesignation
    Indicates that one entity is designated or identified as a prototype version or exemplar of another entity.
  • E. bdDesignation
    Indicates that one entity is formally assigned or designated as having a particular role, status, or classification in relation to another entity.
  • F. None of above.

Provenance (6 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_69f22484a5f48190b678cd607700bc82 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f6807ef98081908c934c38b7448740 completed May 2, 2026, 10:53 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2764576dc081909ed06914644d7b59 completed June 9, 2026, 12:54 a.m.
NEDg Description generation batch_6a276576a8088190acca28b607d0fb41 completed June 9, 2026, 12:59 a.m.
NED2 Entity disambiguation (via description) batch_6a2766aef0c08190ad736595abed58f3 completed June 9, 2026, 1:04 a.m.
PD Predicate disambiguation batch_69f6760216108190bbb708d53a6c2c25 completed May 2, 2026, 10:09 p.m.
Created at: April 29, 2026, 7:41 p.m.