Triple

T32863426
Position Surface form Disambiguated ID Type / Status
Subject Hipódromo da Gávea E840579 entity
Predicate hasDirtTrack P178767 FINISHED
Object yes 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: yes | Statement: [Hipódromo da Gávea, hasDirtTrack, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasDirtTrack
Context triple: [Hipódromo da Gávea, hasDirtTrack, yes]
  • A. hasDirtCourse chosen
    Indicates that one entity features or includes a dirt-based course or track used for activities such as racing, training, or riding.
  • B. hasDust
    Indicates that one entity possesses, contains, or is covered with dust.
  • C. hasDustLanes
    Indicates that an object exhibits distinct, lane-like regions of dust that obscure or separate its brighter components.
  • D. hasTrackSurface
    Indicates that an entity (such as a track) possesses or is characterized by a particular type of surface.
  • E. hasSideTrails
    Indicates that a main path or route is accompanied by additional, smaller trails branching off from it.
  • 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_69f34942465c819099b3fb47f9044f58 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69feb342994081909481ec8ec5d44928 completed May 9, 2026, 4:08 a.m.
PD Predicate disambiguation batch_69feb046e4e48190b96649aa28529cc9 completed May 9, 2026, 3:55 a.m.
Created at: May 1, 2026, 1:17 a.m.