Triple

T13128850
Position Surface form Disambiguated ID Type / Status
Subject Dale Jarrett E311913 entity
Predicate totalCupSeriesPoles P57362 FINISHED
Object 16 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: 16 | Statement: [Dale Jarrett, totalCupSeriesPoles, 16]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: totalCupSeriesPoles
Context triple: [Dale Jarrett, totalCupSeriesPoles, 16]
  • A. totalPolePositions chosen
    Indicates the total number of times an entity has achieved pole position in qualifying or starting order across all relevant events.
  • B. polePositions
    Indicates that one entity holds the pole position (starting first) relative to another entity in a competitive event, such as a race.
  • C. numberOfCupSeriesChampionships
    Indicates the total count of Cup Series championships that an entity has won.
  • D. totalFormulaOnePodiums
    Indicates the total number of times an entity has finished on the podium (top three positions) in Formula One races.
  • E. firstPolePositionDriver
    Indicates the driver who achieved the very first pole position in a given racing event or series.
  • F. None of above.

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_69d806a9fe888190b081e2d9ea665d6c completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9819bfd348190a22d44f837877e1c completed April 10, 2026, 11:02 p.m.
PD Predicate disambiguation batch_69d98043a74c81908648e6cd0b4c7f71 completed April 10, 2026, 10:57 p.m.
Created at: April 9, 2026, 9:07 p.m.