Triple

T379050
Position Surface form Disambiguated ID Type / Status
Subject Ricci curvature tensor E8635 entity
Predicate roleInGeneralRelativity P12684 FINISHED
Object describes how matter and energy curve spacetime on average 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: describes how matter and energy curve spacetime on average | Statement: [Ricci curvature tensor, roleInGeneralRelativity, describes how matter and energy curve spacetime on average]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: roleInGeneralRelativity
Context triple: [Ricci curvature tensor, roleInGeneralRelativity, describes how matter and energy curve spacetime on average]
  • A. roleInvolves
    Indicates that a particular role includes or requires participation in a specified activity, responsibility, or function.
  • B. role
    Indicates the function, position, or responsibility that one entity holds in relation to another within a given context.
  • C. roleInTheology
    Indicates the specific function, position, or significance an entity holds within a theological system, doctrine, or belief framework.
  • D. typeOfRole
    Indicates that one entity specifies the kind or category of role that another entity holds or performs.
  • E. roleInDialogue
    Indicates that an entity participates in a dialogue with a specific conversational role (e.g., speaker, listener, moderator) relative to other participants.
  • 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_69a2e7f47dd08190a4e294ccbbe46cd4 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ec2974988190a1d6316cbb5159c8 completed Feb. 28, 2026, 1:22 p.m.
PD Predicate disambiguation batch_69a2e964d4b481909290e474b0341e3c completed Feb. 28, 2026, 1:11 p.m.
PDg Predicate description generation batch_69a2eae0bd7081908197bbf5c55fe647 completed Feb. 28, 2026, 1:17 p.m.
Created at: Feb. 28, 2026, 1:08 p.m.