Triple

T36491782
Position Surface form Disambiguated ID Type / Status
Subject miniImageNet E899067 entity
Predicate hasClassCount P147723 FINISHED
Object 100 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: 100 | Statement: [miniImageNet, hasClassCount, 100]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasClassCount
Context triple: [miniImageNet, hasClassCount, 100]
  • A. hasClassSize chosen
    Indicates the number of individuals or units that make up a particular class or group.
  • B. hasClass
    Indicates that an entity belongs to, is categorized under, or is associated with a particular class or type.
  • C. hasComponentCount
    Indicates that an entity is associated with a specific number of components it contains or comprises.
  • D. hasClassOrder
    Indicates that an entity is associated with, or belongs to, a particular class order within a classification or hierarchy.
  • E. hasClassOptions
    Indicates that an entity is associated with one or more selectable class options or classifications.
  • 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_69f76e5ad4588190bdbce60c52fbb785 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69fdb04ed81c8190b8feea90c1c785a6 completed May 8, 2026, 9:43 a.m.
PD Predicate disambiguation batch_69fda9d6c5148190a63205b6d9b0a1b4 completed May 8, 2026, 9:16 a.m.
Created at: May 3, 2026, 4:10 p.m.