Triple

T3979708
Position Surface form Disambiguated ID Type / Status
Subject Giro d'Italia E85726 entity
Predicate organiser P4735 FINISHED
Object RCS Sport E85724 NE FINISHED

How this triple was built (2 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: RCS Sport | Statement: [Giro d'Italia, organiser, RCS Sport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RCS Sport
Context triple: [Giro d'Italia, organiser, RCS Sport]
  • A. RCS Sport chosen
    RCS Sport is an Italian sports and media company best known for organizing major cycling races and other sporting events.
  • B. Carrera
    Carrera is a renowned line of luxury sports watches produced by the Swiss watchmaker TAG Heuer, known for its racing-inspired design and chronograph functionality.
  • C. Gazoo Racing
    Gazoo Racing is Toyota’s global motorsport and high-performance division, responsible for its racing activities and sporty road car models.
  • D. Landis
    Landis is a surname most famously associated with Kenesaw Mountain Landis, the first Commissioner of Major League Baseball known for his role in restoring public confidence after the Black Sox Scandal.
  • E. Tartan Racing
    Tartan Racing is an autonomous vehicle research team formed by Carnegie Mellon University and General Motors that gained prominence by winning the 2007 DARPA Urban Challenge.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69aed93908348190a26c8aaf4fab3e86 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef9bb89e8819087703a7af5bbcfc1 completed March 9, 2026, 4:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b54021ae388190a9518ea85b760736 completed March 14, 2026, 11:01 a.m.
Created at: March 9, 2026, 3:33 p.m.