Triple

T8211031
Position Surface form Disambiguated ID Type / Status
Subject Radiator Springs Racers E191815 entity
Predicate featuresEnvironment P853 FINISHED
Object desert landscape 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: desert landscape | Statement: [Radiator Springs Racers, featuresEnvironment, desert landscape]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: featuresEnvironment
Context triple: [Radiator Springs Racers, featuresEnvironment, desert landscape]
  • A. environmentType chosen
    Indicates the kind or category of environment associated with an entity or situation.
  • B. featuresEcosystem
    Indicates that an entity includes, supports, or is characterized by a particular ecosystem of related components, services, or participants.
  • C. featuresIn
    Indicates that an entity appears or plays a role within another entity, such as a person or element being included in a work, event, or context.
  • D. featuresSuit
    Indicates that one entity includes or presents a particular suit (e.g., clothing, armor, or outfit) as a notable component or attribute.
  • E. featuresOrchestrationBy
    Indicates that something (such as a work, event, or performance) is characterized by or includes orchestration carried out by a particular agent or entity.
  • 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_69ca82c8c054819087fedd9a5436b8a3 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb76dec42c819090252fe186a68d34 completed March 31, 2026, 7:25 a.m.
PD Predicate disambiguation batch_69cb36ad01ac81909609b15f6a6c8581 completed March 31, 2026, 2:51 a.m.
Created at: March 30, 2026, 5:44 p.m.