Triple

T15030903
Position Surface form Disambiguated ID Type / Status
Subject stress–energy tensor E378339 entity
Predicate covariantConservationLaw P78875 FINISHED
Object ∇_μ T^{μν} = 0 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: ∇_μ T^{μν} = 0 | Statement: [stress–energy tensor, covariantConservationLaw, ∇_μ T^{μν} = 0]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: covariantConservationLaw
Context triple: [stress–energy tensor, covariantConservationLaw, ∇_μ T^{μν} = 0]
  • A. expressesConservationOf chosen
    Indicates that something embodies, states, or enforces a principle of conservation (such as energy, momentum, or mass) within a system or process.
  • B. hasConservedCurrent
    Indicates that an entity exhibits a current that is conserved, meaning the amount of current entering and leaving remains constant over time or across a defined boundary.
  • C. hasConservedQuantity
    Indicates that a system or process possesses a quantity that remains constant (is conserved) throughout its evolution or interactions.
  • D. covariantDerivativeContribution
    Indicates the contribution of a given term or component to the overall value of a covariant derivative in a geometric or field-theoretic context.
  • E. isLorentz
    Indicates that a transformation preserves the Lorentzian spacetime interval, i.e., it is a valid Lorentz transformation between inertial reference frames.
  • 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_69d85cd46b2c819090d054c27787f677 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded7e2416081908dfba48d7f7b4a84 completed April 15, 2026, 12:12 a.m.
PD Predicate disambiguation batch_69de9a67cbc481909c19c2de57de4eb7 completed April 14, 2026, 7:50 p.m.
Created at: April 10, 2026, 2:59 a.m.