Triple

T1489751
Position Surface form Disambiguated ID Type / Status
Subject Noether's problem E29549 entity
Predicate asksAbout P380 FINISHED
Object rationality of fixed fields under finite group actions 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: rationality of fixed fields under finite group actions | Statement: [Noether's problem, asksAbout, rationality of fixed fields under finite group actions]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: asksAbout
Context triple: [Noether's problem, asksAbout, rationality of fixed fields under finite group actions]
  • A. raisesQuestion
    Indicates that one entity causes or prompts a question or doubt to arise about another entity or topic.
  • B. isAbout chosen
    Indicates that one entity has as its subject, focus, or primary concern the content, topic, or theme represented by another entity.
  • C. inquiry
    Indicates that one entity seeks information, clarification, or an answer from another through a question or request.
  • D. hasKeyQuestion
    Indicates that one entity possesses or is associated with a primary or central question relevant to another entity.
  • E. openingQuestion
    Indicates that one entity poses an initial or introductory question to another, typically at the start of an interaction or dialogue.
  • 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_69a498da82e08190ba833330d05f380f completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c6c233ec819087e1233af02aabfc completed March 1, 2026, 11:07 p.m.
PD Predicate disambiguation batch_69a4c48902808190a8028d359bcf123e completed March 1, 2026, 10:58 p.m.
Created at: March 1, 2026, 8:12 p.m.