Triple

T13315405
Position Surface form Disambiguated ID Type / Status
Subject Deutsche Tourenwagen Meisterschaft E317176 entity
Predicate typicalRaceWeekendStructure P109477 FINISHED
Object practice qualifying race LITERAL 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: practice qualifying race | Statement: [Deutsche Tourenwagen Meisterschaft, typicalRaceWeekendStructure, practice qualifying race]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typicalRaceWeekendStructure
Context triple: [Deutsche Tourenwagen Meisterschaft, typicalRaceWeekendStructure, practice qualifying race]
  • A. racingPeriod
    Indicates the time span during which a racing event or competition takes place.
  • B. sharesRaceWeekendsWith
    Indicates that two entities participate in the same race events or race weekends during overlapping time periods.
  • C. racingSeries
    Indicates that one entity is a racing series in which the other entity (such as a race, team, or driver) participates or to which it belongs.
  • D. timingOfRace
    Indicates the temporal details or schedule associated with a race, such as its start time, duration, or overall timing.
  • E. F1BrazilianGPRegularVenueFrom
    Indicates that a location has regularly served as the venue for the Brazilian Formula 1 Grand Prix starting from a specified time.
  • F. None of above. chosen

Provenance (4 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_69d806b4d62c81908d4ced1665414be5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99cfdc9388190af1fdd3cd4717bd8 completed April 11, 2026, 12:59 a.m.
PD Predicate disambiguation batch_69d98f6babd88190a5d529df9584b9a4 completed April 11, 2026, 12:01 a.m.
PDg Predicate description generation batch_69d99cf7f9c48190a6a4f452b4a2aefa completed April 11, 2026, 12:59 a.m.
Created at: April 9, 2026, 9:29 p.m.