Triple

T1994302
Position Surface form Disambiguated ID Type / Status
Subject Hilbert’s irreducibility theorem E43322 entity
Predicate toolFor P24520 FINISHED
Object eliminating parameters in Diophantine problems 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: eliminating parameters in Diophantine problems | Statement: [Hilbert’s irreducibility theorem, toolFor, eliminating parameters in Diophantine problems]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: toolFor
Context triple: [Hilbert’s irreducibility theorem, toolFor, eliminating parameters in Diophantine problems]
  • A. toolIn
    Indicates that one entity is a tool or instrument used in or associated with another entity or context.
  • B. toolUsed
    Indicates that an action or task is performed using a particular tool as the means or instrument.
  • C. isToolOf chosen
    Indicates that one entity functions as an instrument or means used by another entity to perform tasks or achieve goals.
  • D. typicalTools
    Indicates that the related tools are commonly or characteristically used to perform the associated activity, task, or function.
  • E. relatedTool
    Indicates that one tool has a meaningful association or connection with another tool, such as being complementary, compatible, or commonly used together.
  • 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_69a88714cf2c819081644be450b8356e completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb8ee02dc81908fec9fd8df7a4f40 completed March 7, 2026, 5:34 a.m.
PD Predicate disambiguation batch_69abb79ad6888190be99943a9c73cf3e completed March 7, 2026, 5:28 a.m.
Created at: March 4, 2026, 7:37 p.m.