Triple

T34458940
Position Surface form Disambiguated ID Type / Status
Subject Kegon Falls E884579 entity
Predicate viewingPlatformsCount P843 FINISHED
Object multiple 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: multiple | Statement: [Kegon Falls, viewingPlatformsCount, multiple]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: viewingPlatformsCount
Context triple: [Kegon Falls, viewingPlatformsCount, multiple]
  • A. hasNumberOfPlatforms chosen
    Indicates the relationship that specifies how many platforms are associated with a given entity.
  • B. coveredPlatform
    Indicates that a platform is sheltered by a roof or overhead structure, providing cover from above.
  • C. platforms
    Indicates that one entity provides or serves as a base, medium, or environment that supports the operation, distribution, or presentation of another entity.
  • D. televisionPlatform
    Indicates that one entity serves as the television platform (e.g., service, system, or distribution channel) through which the other entity’s TV content is delivered or accessed.
  • E. consideredPlatform
    Indicates that one entity is regarded or treated as a platform (e.g., a base, medium, or environment) for another entity or activity.
  • 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_69f349c73a94819094dfcf50d00620b8 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f7197a35d48190a108b2e55c32dff1 completed May 3, 2026, 9:46 a.m.
PD Predicate disambiguation batch_69f71824431081908d9685d2462ea242 completed May 3, 2026, 9:40 a.m.
Created at: May 1, 2026, 2 a.m.