Triple

T21731630
Position Surface form Disambiguated ID Type / Status
Subject Riptide Racer E536419 entity
Predicate hasStartSection P145156 FINISHED
Object simultaneous start for all lanes 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: simultaneous start for all lanes | Statement: [Riptide Racer, hasStartSection, simultaneous start for all lanes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasStartSection
Context triple: [Riptide Racer, hasStartSection, simultaneous start for all lanes]
  • A. hasSectionOn
    Indicates that one entity (typically a document or resource) contains a dedicated section or part that specifically addresses or discusses another entity or topic.
  • B. hasSectionOpening
    Indicates that one entity serves as the opening or introductory section of another, typically larger, entity.
  • C. hasSect
    Indicates that an entity includes, contains, or is associated with a particular sect or subgroup within a larger religious, ideological, or organizational context.
  • D. hasSectionWith
    Indicates that an entity contains or includes a specific section that satisfies certain conditions or characteristics.
  • E. hasPrimarySection
    Indicates that an entity is associated with or organized under a main or principal section within a larger structure or grouping.
  • 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_69e0c46d3284819099a4f9d5a704eb95 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69effd0713c48190a38b3963cb3cbaf0 completed April 28, 2026, 12:19 a.m.
PD Predicate disambiguation batch_69e6969c16fc8190b5126c169317d85d completed April 20, 2026, 9:11 p.m.
PDg Predicate description generation batch_69e69f3ed4408190a4a78410bf660c44 completed April 20, 2026, 9:48 p.m.
Created at: April 16, 2026, 6:48 p.m.