Triple

T12027000
Position Surface form Disambiguated ID Type / Status
Subject Connes embedding problem E286302 entity
Predicate motivatedResearchIn P102847 FINISHED
Object classification of II₁ factors 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: classification of II₁ factors | Statement: [Connes embedding problem, motivatedResearchIn, classification of II₁ factors]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: motivatedResearchIn
Context triple: [Connes embedding problem, motivatedResearchIn, classification of II₁ factors]
  • A. motivated
    Indicates that one entity provides a reason, drive, or incentive that causes another entity to act or behave in a certain way.
  • B. supportedResearch
    Indicates that one entity provided assistance, resources, or backing to enable or advance the research activities of another entity.
  • C. researchValue
    Indicates that something is considered useful, important, or relevant for research or scholarly investigation.
  • D. supportsResearchIn
    Indicates that one entity provides resources, assistance, or infrastructure that enables or advances research activities in a particular field or area for another entity.
  • E. motivatedByGoal
    Indicates that an action, behavior, or state occurs as a result of an intention to achieve a specific goal or desired outcome.
  • F. None of above. chosen

Provenance (4 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_69d6ab4669e48190b59246358b0383ab completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9100b4ca8819084845ca4c13e34ce completed April 10, 2026, 2:58 p.m.
PD Predicate disambiguation batch_69d902b6ebbc8190b13c44a61c6f81b9 completed April 10, 2026, 2:01 p.m.
PDg Predicate description generation batch_69d91006e14081909838412df082f794 completed April 10, 2026, 2:58 p.m.
Created at: April 8, 2026, 9:47 p.m.