Triple

T3814635
Position Surface form Disambiguated ID Type / Status
Subject Daytona International Speedway E84221 entity
Predicate hasTriOvalLength P52024 FINISHED
Object 2.5 miles 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: 2.5 miles | Statement: [Daytona International Speedway, hasTriOvalLength, 2.5 miles]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTriOvalLength
Context triple: [Daytona International Speedway, hasTriOvalLength, 2.5 miles]
  • A. hasInfieldOval
    Indicates that one entity possesses or includes an oval-shaped infield area as part of its structure or layout.
  • B. hasTriangle
    Indicates that an entity possesses, contains, or is associated with a triangle.
  • C. hasDegreeLength
    Indicates that something possesses a length measured in degrees, typically expressing angular extent or size.
  • D. hasTrailLength
    Indicates that an entity (such as a trail or route) has a specific measured length.
  • E. hasTunnelLengthApprox
    Indicates that an entity has a tunnel whose length is approximately a specified value.
  • 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_69aed931f5908190be2c07af66d4df25 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef1515c688190a38332aedeed8a76 completed March 9, 2026, 4:12 p.m.
PD Predicate disambiguation batch_69aee7482d708190a3ec74745b102a4c completed March 9, 2026, 3:29 p.m.
PDg Predicate description generation batch_69aef14f9bb4819098e64b527b546d74 completed March 9, 2026, 4:11 p.m.
Created at: March 9, 2026, 3:17 p.m.