Triple

T5908822
Position Surface form Disambiguated ID Type / Status
Subject Brickyard 400 E131408 entity
Predicate timingSystem P21771 FINISHED
Object electronic timing and scoring 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: electronic timing and scoring | Statement: [Brickyard 400, timingSystem, electronic timing and scoring]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: timingSystem
Context triple: [Brickyard 400, timingSystem, electronic timing and scoring]
  • A. timeSystem
    Indicates a relationship where an entity uses, follows, or is defined within a particular system for measuring or organizing time.
  • B. timingStandard
    Indicates that one entity specifies or conforms to the timing rules, constraints, or reference schedule defined by another entity.
  • C. timingMethod chosen
    Indicates the method or technique used to measure or record the timing of an event or process.
  • D. usesClockSystem
    Indicates that one entity employs or operates according to the clock or timekeeping system defined or provided by another entity.
  • E. timeLoopMechanism
    Indicates a relationship where events or states are repeatedly reset or cycled through the same temporal sequence due to a mechanism that loops time.
  • 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_69c008593a44819081a07ae0efe6c574 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c03ee10b308190afe38b904ae7c5f7 completed March 22, 2026, 7:11 p.m.
PD Predicate disambiguation batch_69c0334fcf6481908e8e74105de9d49b completed March 22, 2026, 6:22 p.m.
Created at: March 22, 2026, 3:59 p.m.