Triple

T12722951
Position Surface form Disambiguated ID Type / Status
Subject Akita Kanto Festival E304029 entity
Predicate kantoMaxWeight P26161 FINISHED
Object about 50 kilograms 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: about 50 kilograms | Statement: [Akita Kanto Festival, kantoMaxWeight, about 50 kilograms]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: kantoMaxWeight
Context triple: [Akita Kanto Festival, kantoMaxWeight, about 50 kilograms]
  • A. weightLimitInKilograms chosen
    Indicates the maximum allowable weight for something, expressed in kilograms.
  • B. maximumWeight
    Indicates the greatest allowable or observed weight value associated with an entity or relationship.
  • C. weightLimitInPounds
    Indicates the maximum allowable weight for something, expressed in pounds.
  • D. maximumTonnageLimitedBy
    Indicates that the maximum allowable tonnage of one entity is constrained or capped by the capacity or limit specified by another entity.
  • E. weightSupport
    Indicates that one entity bears or carries the physical weight of another, providing structural or mechanical support.
  • 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_69d7bdf084148190ab9d513dc0735af4 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96d89ea70819098c470344f172167 completed April 10, 2026, 9:37 p.m.
PD Predicate disambiguation batch_69d96403957c81909acdee7bdae71696 completed April 10, 2026, 8:56 p.m.
Created at: April 9, 2026, 5:24 p.m.