Triple

T164999
Position Surface form Disambiguated ID Type / Status
Subject GG1 electric locomotive E2993 entity
Predicate wheelArrangementSystem P5627 FINISHED
Object AAR
AAR is the American Association of Railroads' wheel arrangement classification system commonly used to describe locomotive axle configurations in North America.
E20202 NE FINISHED

How this triple was built (5 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: AAR | Statement: [GG1 electric locomotive, wheelArrangementSystem, AAR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AAR
Context triple: [GG1 electric locomotive, wheelArrangementSystem, AAR]
  • A. AA
    AA is the two-letter IATA airline designator used to identify American Airlines in flight schedules, tickets, and aviation systems.
  • B. AAS
    AAS is a major professional organization dedicated to the advancement of astronomy and related sciences in the United States.
  • C. AAS
    AAS is a pan-African scientific organization that promotes excellence in science, technology, and innovation to drive sustainable development across the African continent.
  • D. AAL
    AAL is the ICAO airline designator used in aviation to identify American Airlines in flight operations and air traffic control.
  • E. AAA
    AAA was a New Deal-era U.S. government agency created to regulate agricultural production and stabilize farm prices during the Great Depression.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: AAR
Triple: [GG1 electric locomotive, wheelArrangementSystem, AAR]
Generated description
AAR is the American Association of Railroads' wheel arrangement classification system commonly used to describe locomotive axle configurations in North America.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: AAR
Target entity description: AAR is the American Association of Railroads' wheel arrangement classification system commonly used to describe locomotive axle configurations in North America.
  • A. AA
    AA is the two-letter IATA airline designator used to identify American Airlines in flight schedules, tickets, and aviation systems.
  • B. AAS
    AAS is a major professional organization dedicated to the advancement of astronomy and related sciences in the United States.
  • C. AAS
    AAS is a pan-African scientific organization that promotes excellence in science, technology, and innovation to drive sustainable development across the African continent.
  • D. AAL
    AAL is the ICAO airline designator used in aviation to identify American Airlines in flight operations and air traffic control.
  • E. AAA
    AAA was a New Deal-era U.S. government agency created to regulate agricultural production and stabilize farm prices during the Great Depression.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: wheelArrangementSystem
Context triple: [GG1 electric locomotive, wheelArrangementSystem, AAR]
  • A. wheelbase
    Indicates the distance between the centers of the front and rear wheels of a vehicle.
  • B. driveType
    Indicates the type or configuration of the drive mechanism used to power or propel an entity.
  • C. landingGear
    Indicates that an entity’s landing gear is present, deployed, or otherwise involved in a landing-related state or action relative to another entity or context.
  • D. landingGearType
    Indicates the specific kind or configuration of landing gear that an object (typically an aircraft or vehicle) uses.
  • E. drivingSide
    Indicates which side of the road (left or right) vehicles are required to drive on in a given jurisdiction.
  • 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_69a2524ce1e48190ab066bf72859f474 completed Feb. 28, 2026, 2:26 a.m.
NER Named-entity recognition batch_69a258827da481909b20ea5e9d21676f completed Feb. 28, 2026, 2:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2d73560588190b7cb099b70b4e60d completed Feb. 28, 2026, 11:53 a.m.
NEDg Description generation batch_69a2d8b160c081908d3ebfdc374dc219 completed Feb. 28, 2026, 11:59 a.m.
NED2 Entity disambiguation (via description) batch_69a2d936f53481909da9fff941ffbc22 completed Feb. 28, 2026, 12:01 p.m.
PD Predicate disambiguation batch_69a25664ba8081908ac298511a9fc5ba completed Feb. 28, 2026, 2:43 a.m.
PDg Predicate description generation batch_69a256eb46ec81909c730000e5041d0d completed Feb. 28, 2026, 2:46 a.m.
Created at: Feb. 28, 2026, 2:34 a.m.