Triple

T19956858
Position Surface form Disambiguated ID Type / Status
Subject Cronk-ny-Mona E479705 entity
Predicate hasCourseLengthPosition P78177 FINISHED
Object approximately 36 miles from the startline at the TT Grandstand 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: approximately 36 miles from the startline at the TT Grandstand | Statement: [Cronk-ny-Mona, hasCourseLengthPosition, approximately 36 miles from the startline at the TT Grandstand]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCourseLengthPosition
Context triple: [Cronk-ny-Mona, hasCourseLengthPosition, approximately 36 miles from the startline at the TT Grandstand]
  • A. hasCourseLength
    Indicates that an entity (such as a course) is associated with a specific duration or length.
  • B. hasCourseLengthUnit
    Indicates the unit of measurement used to express the length or duration of a course.
  • C. courseLength
    Indicates the duration or total length of a course, typically measured in units such as hours, weeks, or credits.
  • D. approximateCourseLength
    Indicates an estimated or rough value for the length or duration of a course rather than an exact measurement.
  • E. hasStructureOnCourse chosen
    Indicates that a physical structure is located on, along, or directly associated with a specific course or route.
  • 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_69d8e523c19881909f9197037200dde6 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65af08e008190a3a1b807b638a99e completed April 20, 2026, 4:57 p.m.
PD Predicate disambiguation batch_69e537f7e4848190b431a69ec3f1b609 completed April 19, 2026, 8:15 p.m.
Created at: April 10, 2026, 1:54 p.m.