Triple

T27873630
Position Surface form Disambiguated ID Type / Status
Subject GE Dash 7 series locomotives E704866 entity
Predicate locomotiveSeriesIncludes P86157 FINISHED
Object GE C30-7
The GE C30-7 is a six-axle, 3,000-horsepower diesel-electric freight locomotive built by General Electric in the late 1970s and early 1980s for heavy mainline service.
 E1794033 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: GE C30-7 | Statement: [GE Dash 7 series locomotives, locomotiveSeriesIncludes, GE C30-7]
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: GE C30-7
Triple: [GE Dash 7 series locomotives, locomotiveSeriesIncludes, GE C30-7]
Generated description
The GE C30-7 is a six-axle, 3,000-horsepower diesel-electric freight locomotive built by General Electric in the late 1970s and early 1980s for heavy mainline service.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: locomotiveSeriesIncludes
Context triple: [GE Dash 7 series locomotives, locomotiveSeriesIncludes, GE C30-7]
  • A. usedInLocomotiveSeries
    Indicates that something is employed or implemented within a particular locomotive series.
  • B. notableLocomotiveModels chosen
    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).
  • C. locomotiveTypeHandled
    Indicates the type of locomotive that is managed, operated, or otherwise dealt with in a given context or operation.
  • D. laterLocomotiveType
    Indicates that one locomotive type succeeds or comes after another in time, representing a later development or version in locomotive design.
  • E. locomotiveWorks
    Indicates a relationship where an entity is a facility or company that builds, repairs, or maintains locomotives.
  • 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_69ef84111bb4819084298f994b31c62f completed April 27, 2026, 3:43 p.m.
NER Named-entity recognition batch_69f643ed0b7481908cf25f3afec0a61d completed May 2, 2026, 6:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a13034eb2188190a44ccd3ffdaf55a2 completed May 24, 2026, 1:55 p.m.
NEDg Description generation batch_6a1303fd53888190856a4b6e2b5f5dd5 completed May 24, 2026, 1:58 p.m.
NED2 Entity disambiguation (via description) batch_6a1304b2a0c481909283b9cafea6b075 completed May 24, 2026, 2:01 p.m.
PD Predicate disambiguation batch_69f641def1e88190a05bf865ced78b23 completed May 2, 2026, 6:26 p.m.
Created at: April 27, 2026, 6:25 p.m.