Triple

T30255103
Position Surface form Disambiguated ID Type / Status
Subject GE U36B E769316 entity
Predicate locomotiveSeries P169027 FINISHED
Object U36 series
The U36 series is a family of high-horsepower diesel-electric locomotives built by General Electric for heavy freight and mainline service in North America.
 E1905913 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: U36 series | Statement: [GE U36B, locomotiveSeries, U36 series]
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: U36 series
Triple: [GE U36B, locomotiveSeries, U36 series]
Generated description
The U36 series is a family of high-horsepower diesel-electric locomotives built by General Electric for heavy freight and mainline service in North America.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: locomotiveSeries
Context triple: [GE U36B, locomotiveSeries, U36 series]
  • A. usedInLocomotiveSeries
    Indicates that something is employed or implemented within a particular locomotive series.
  • B. laterLocomotiveType
    Indicates that one locomotive type succeeds or comes after another in time, representing a later development or version in locomotive design.
  • C. notableLocomotiveModels
    Indicates a relationship where specific locomotive models are recognized as notable or significant examples associated with an entity (such as a manufacturer, railway, or time period).
  • D. typicalLocomotiveClass
    Indicates that one locomotive class is the standard or most commonly used class for a given context, operator, or service.
  • E. locomotiveWorks
    Indicates a relationship where an entity is a facility or company that builds, repairs, or maintains locomotives.
  • F. None of above. chosen

Provenance (7 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.
PDg Predicate description generation batch_69f676c35f3481909b9ba18a5662d6ce completed May 2, 2026, 10:12 p.m.
Created at: April 29, 2026, 7:41 p.m.