Triple

T18920787
Position Surface form Disambiguated ID Type / Status
Subject Serres Racing Circuit E462847 entity
Predicate hasRunOffAreas P105668 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: [Serres Racing Circuit, hasRunOffAreas, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasRunOffAreas
Context triple: [Serres Racing Circuit, hasRunOffAreas, yes]
  • A. hasSandRunOffAreas
    Indicates that an entity includes or is associated with designated areas where sand runoff is directed, collected, or managed.
  • B. runOffAreas
    Indicates that certain areas serve as surfaces or zones from which water or other substances run off or drain away.
  • C. hasRunoffAreas chosen
    Indicates that an entity includes or is equipped with designated runoff areas for managing excess water or liquid flow.
  • D. hasFloodplains
    Indicates that an area or region includes land that is subject to flooding, typically adjacent to a river or water body.
  • E. hasIrrigationArea
    Indicates that an entity possesses or is associated with a specific area of land equipped or designated for irrigation.
  • 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_69d8dcfdbbb881909964fa5a75bd0b48 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c9b3b93c819085032d8251a43ca8 completed April 20, 2026, 6:37 a.m.
PD Predicate disambiguation batch_69e4a2e9e6488190ba8df92c8058ed88 completed April 19, 2026, 9:39 a.m.
Created at: April 10, 2026, 11:59 a.m.