Triple

T772342
Position Surface form Disambiguated ID Type / Status
Subject Peugeot E16307 entity
Predicate participatedIn P149 FINISHED
Object Dakar Rally E82739 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: Dakar Rally | Statement: [Peugeot, participatedIn, Dakar Rally]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dakar Rally
Context triple: [Peugeot, participatedIn, Dakar Rally]
  • A. Dakar Rally chosen
    The Dakar Rally is a famous annual off-road endurance race, originally from Paris to Dakar and now held in various challenging terrains, known for its extreme difficulty and adventurous spirit.
  • B. Silk Way Rally
    The Silk Way Rally is a long-distance off-road rally raid event held across challenging terrains in Eurasia, attracting top international teams and drivers.
  • C. Le Mans
    Le Mans is a historic city in northwestern France best known for its annual 24 Hours of Le Mans endurance sports car race.
  • D. New York–Paris
    New York–Paris is a major transatlantic air route connecting the United States and France, linking New York City with the French capital.
  • E. Arctic Race of Norway
    The Arctic Race of Norway is a professional multi-stage road cycling race held annually in northern Norway, known for its scenic Arctic landscapes and challenging routes.
  • 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_69a49369a0848190af883934cee3db4c completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a706abf88190a1cbc2dfbbf9968a completed March 1, 2026, 8:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69a6667aabe08190b56f129864082c84 completed March 3, 2026, 4:41 a.m.
Created at: March 1, 2026, 7:37 p.m.