Triple

T16145772
Position Surface form Disambiguated ID Type / Status
Subject Daytona Beach Road Course E391776 entity
Predicate usedBeachSection P74527 FINISHED
Object true 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: true | Statement: [Daytona Beach Road Course, usedBeachSection, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usedBeachSection
Context triple: [Daytona Beach Road Course, usedBeachSection, true]
  • A. hasBeachUse chosen
    Indicates that an entity is used for, designated for, or associated with beach-related activities or purposes.
  • B. hasBeachSection
    Indicates that an area, location, or property includes or is associated with a specific section designated as a beach.
  • C. beachSectorSupported
    Indicates that a particular beach sector is maintained, serviced, or otherwise operationally supported by a responsible party or system.
  • D. locatedAtEndOfBeach
    Indicates that something is positioned at the far end or terminal point of a beach relative to a reference direction or area.
  • E. beachSubdivisionOf
    Indicates that a beach is a component or sub-area of a larger geographic or administrative region.
  • 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_69d87f1c65e48190aa2b4c472e9bafc4 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21d9376fc8190bd9ef586b00c1d3b completed April 17, 2026, 11:46 a.m.
PD Predicate disambiguation batch_69e182885bc08190822ae7e8a4b8ac1f completed April 17, 2026, 12:44 a.m.
Created at: April 10, 2026, 5:01 a.m.