Triple

T22184344
Position Surface form Disambiguated ID Type / Status
Subject Alsco Uniforms 300 E548252 entity
Predicate previousName P65 FINISHED
Object Tech-Net Professional Auto Service 300 NE NERFINISHED

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: Tech-Net Professional Auto Service 300 | Statement: [Alsco Uniforms 300, previousName, Tech-Net Professional Auto Service 300]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tech-Net Professional Auto Service 300
Context triple: [Alsco Uniforms 300, previousName, Tech-Net Professional Auto Service 300]
  • A. Sonic Automotive
    Sonic Automotive is a large U.S.-based automotive retailer that operates franchised dealerships and sells new and used vehicles, parts, and services across multiple states.
  • B. Universal Technical Institute
    Universal Technical Institute is a leading for-profit technical education provider in the United States specializing in automotive, diesel, collision repair, motorcycle, and marine technician training.
  • C. Tech3 Racing
    Tech3 Racing is a French motorcycle racing team best known for competing as an independent and later factory-supported outfit in the MotoGP World Championship.
  • D. Technical Services Program
    The Technical Services Program is a preservation initiative of the New York Landmarks Conservancy that provides expert architectural and conservation guidance to help maintain and restore historic buildings and landmarks.
  • E. Tech3
    Tech3 is a French motorcycle racing team best known for competing in the MotoGP World Championship as a long-time satellite squad for major manufacturers like Yamaha and KTM.
  • 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: Tech-Net Professional Auto Service 300
Target entity description: Tech-Net Professional Auto Service 300 was the former name of a NASCAR Xfinity Series stock car race held at Auto Club Speedway in Fontana, California.
  • A. Sonic Automotive
    Sonic Automotive is a large U.S.-based automotive retailer that operates franchised dealerships and sells new and used vehicles, parts, and services across multiple states.
  • B. Universal Technical Institute
    Universal Technical Institute is a leading for-profit technical education provider in the United States specializing in automotive, diesel, collision repair, motorcycle, and marine technician training.
  • C. Tech3 Racing
    Tech3 Racing is a French motorcycle racing team best known for competing as an independent and later factory-supported outfit in the MotoGP World Championship.
  • D. Technical Services Program
    The Technical Services Program is a preservation initiative of the New York Landmarks Conservancy that provides expert architectural and conservation guidance to help maintain and restore historic buildings and landmarks.
  • E. Tech3
    Tech3 is a French motorcycle racing team best known for competing in the MotoGP World Championship as a long-time satellite squad for major manufacturers like Yamaha and KTM.
  • F. None of above. chosen

Provenance (2 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_69e11e3e0c7c8190b30d278845e2497e completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12aa75440819084cbe9176b9edb47 completed April 28, 2026, 9:46 p.m.
Created at: April 16, 2026, 8:35 p.m.