Triple

T6800868
Position Surface form Disambiguated ID Type / Status
Subject Lagrange multipliers E156182 entity
Predicate canFind P41968 FINISHED
Object local maxima 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: local maxima | Statement: [Lagrange multipliers, canFind, local maxima]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: canFind
Context triple: [Lagrange multipliers, canFind, local maxima]
  • A. containsFinding
    Indicates that one entity includes, encompasses, or holds a particular finding as part of its content or results.
  • B. existsFor
    Indicates that something is present, available, or holds true for a particular entity, context, or condition.
  • C. finds
    Indicates that one entity discovers, locates, or comes upon another entity, often as the result of a search or encounter.
  • D. requiresFinding
    Indicates that one entity’s validity, execution, or completion is contingent upon a specific finding or determination being made about another entity.
  • E. supportsFinding chosen
    Indicates that one entity provides the capability or functionality needed to perform, enable, or carry out a particular finding operation on another entity or resource.
  • 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_69c68826e6a48190a3d220b541e639de completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d2e595188190a0bb4b595df3adb2 completed March 27, 2026, 6:56 p.m.
PD Predicate disambiguation batch_69c6d099bf08819089a9f9894d037e74 completed March 27, 2026, 6:46 p.m.
Created at: March 27, 2026, 2:16 p.m.