Triple

T35237142
Position Surface form Disambiguated ID Type / Status
Subject Normalized Cuts for image segmentation E1017405 entity
Predicate objectiveMinimizes P116644 FINISHED
Object sum of weights of edges cut between groups normalized by association within groups 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: sum of weights of edges cut between groups normalized by association within groups | Statement: [Normalized Cuts for image segmentation, objectiveMinimizes, sum of weights of edges cut between groups normalized by association within groups]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: objectiveMinimizes
Context triple: [Normalized Cuts for image segmentation, objectiveMinimizes, sum of weights of edges cut between groups normalized by association within groups]
  • A. minimizedBy
    Indicates that one entity serves to reduce, lessen, or make as small as possible the value, effect, or impact of another entity.
  • B. minimizesRoleOf
    Indicates that one entity reduces, downplays, or diminishes the importance, influence, or contribution of another entity’s role.
  • C. minimality
    Indicates that something has the smallest or least possible value, size, or complexity among a relevant set, such that no strictly smaller or simpler alternative satisfies the same conditions.
  • D. objectiveFunctionType chosen
    Indicates the specific kind or category of objective function used to evaluate or optimize a system, model, or decision.
  • E. usesObjective
    Indicates that an agent employs or applies a particular object, tool, or resource to carry out an action or achieve a goal.
  • 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_69f76de235048190b990070c23c51b6b completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f78f63c8788190b253a18de5ca1312 completed May 3, 2026, 6:09 p.m.
PD Predicate disambiguation batch_69f78e2d71248190b850c2802ec170c0 completed May 3, 2026, 6:04 p.m.
Created at: May 3, 2026, 4:02 p.m.