Triple

T8304698
Position Surface form Disambiguated ID Type / Status
Subject Racing 92 E194433 entity
Predicate shortName P43 FINISHED
Object Racing
Racing is a professional French rugby union club based in the Paris region that competes in the country’s top domestic league and European competitions.
E725398 NE FINISHED

How this triple was built (4 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: Racing | Statement: [Racing 92, shortName, Racing]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Racing
Context triple: [Racing 92, shortName, Racing]
  • A. Racing
    Racing is a professional women's soccer club based in Louisville, Kentucky, that competes in the National Women's Soccer League.
  • B. Trans-Am racing
    Trans-Am racing is an American road racing series for production-based muscle cars that gained prominence in the late 1960s and 1970s.
  • C. Rally
    Rally is an OpenStack benchmarking and performance testing tool designed to validate and profile cloud deployments at scale.
  • D. Speedway
    Speedway is a small town in Marion County, Indiana, best known as the home of the Indianapolis Motor Speedway and the Indianapolis 500 auto race.
  • E. MotorSport
    "MotorSport" is a 2017 hip-hop single by Migos featuring Nicki Minaj and Cardi B, known for its high-profile collaboration and appearance on the album "Culture II."
  • 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: Racing
Triple: [Racing 92, shortName, Racing]
Generated description
Racing is a professional French rugby union club based in the Paris region that competes in the country’s top domestic league and European competitions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Racing
Target entity description: Racing is a professional French rugby union club based in the Paris region that competes in the country’s top domestic league and European competitions.
  • A. Racing
    Racing is a professional women's soccer club based in Louisville, Kentucky, that competes in the National Women's Soccer League.
  • B. Trans-Am racing
    Trans-Am racing is an American road racing series for production-based muscle cars that gained prominence in the late 1960s and 1970s.
  • C. Rally
    Rally is an OpenStack benchmarking and performance testing tool designed to validate and profile cloud deployments at scale.
  • D. Speedway
    Speedway is a small town in Marion County, Indiana, best known as the home of the Indianapolis Motor Speedway and the Indianapolis 500 auto race.
  • E. MotorSport
    "MotorSport" is a 2017 hip-hop single by Migos featuring Nicki Minaj and Cardi B, known for its high-profile collaboration and appearance on the album "Culture II."
  • F. None of above. chosen

Provenance (5 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_69ca82e613e88190bf8139669bbd0d53 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7e8db3a8819083772db5c7a2454b completed March 31, 2026, 7:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd9545ffc48190869906b02692b873 completed April 1, 2026, 9:59 p.m.
NEDg Description generation batch_69cdab5d649c819098a7643d5a0b7827 completed April 1, 2026, 11:33 p.m.
NED2 Entity disambiguation (via description) batch_69cdb2c2e2248190bf52466abaebfe29 completed April 2, 2026, 12:05 a.m.
Created at: March 30, 2026, 5:54 p.m.