Triple

T5808197
Position Surface form Disambiguated ID Type / Status
Subject Valley Children’s Stadium E128797 entity
Predicate hasFieldLighting P1280 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: [Valley Children’s Stadium, hasFieldLighting, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasFieldLighting
Context triple: [Valley Children’s Stadium, hasFieldLighting, yes]
  • A. hasLighting chosen
    Indicates that one entity is equipped with, contains, or is characterized by a particular type or configuration of lighting.
  • B. lightingControlledBy
    Indicates that the lighting system or device is operated, regulated, or influenced by a specified controller or control mechanism.
  • C. hasLightingImprovements
    Indicates that an entity has enhancements or upgrades made to its lighting conditions or systems.
  • D. hasNumberOfMainLights
    Indicates the relationship that specifies how many primary or main lights are associated with an entity.
  • E. hasLightShow
    Indicates that an entity features or presents a light-based visual display or performance.
  • 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_69c0084788848190bcf71f6bc5d71597 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02b1867a481909a7ea3331dbb04ce completed March 22, 2026, 5:47 p.m.
PD Predicate disambiguation batch_69c021d5ecd081908a62dd66e26f8598 completed March 22, 2026, 5:07 p.m.
Created at: March 22, 2026, 3:52 p.m.