Triple

T18065394
Position Surface form Disambiguated ID Type / Status
Subject Miki Biasion E432279 entity
Predicate hasWon P2624 FINISHED
Object Rally RAC NE NERFINISHED

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: Rally RAC | Statement: [Miki Biasion, hasWon, Rally RAC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rally RAC
Context triple: [Miki Biasion, hasWon, Rally RAC]
  • A. RAC Rally chosen
    The RAC Rally, now known as Wales Rally GB, is a historic and challenging round of the World Rally Championship traditionally held on gravel and forest stages in the United Kingdom.
  • B. Rally5
    Rally5 is an entry-level FIA rally car category designed for affordable, front-wheel-drive competition in national and international rally events.
  • C. Rally
    Rally is an OpenStack benchmarking and performance testing tool designed to validate and profile cloud deployments at scale.
  • D. Rally4
    Rally4 is a front-wheel-drive rally car category in the FIA’s Rally Pyramid, designed as an affordable entry-level class for international and national rally competition.
  • E. Rally2
    Rally2 is a category of four-wheel-drive rally cars built to FIA regulations for cost-controlled, high-performance competition in series like WRC2 and regional championships.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d8b9070cac81909fa9473fb1c3f1c7 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4cce81de88190bd94d4ccee3e180c completed April 19, 2026, 12:39 p.m.
Created at: April 10, 2026, 10:26 a.m.