Triple

T461550
Position Surface form Disambiguated ID Type / Status
Subject equivalence principle E7349 entity
Predicate statesEqualityOf P7398 FINISHED
Object gravitational mass and inertial mass 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: gravitational mass and inertial mass | Statement: [equivalence principle, statesEqualityOf, gravitational mass and inertial mass]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: statesEqualityOf
Context triple: [equivalence principle, statesEqualityOf, gravitational mass and inertial mass]
  • A. equivalentTo
    Indicates that two entities represent the same concept, value, or state, and can be treated as interchangeable in the given context.
  • B. ensures
    Indicates that one entity guarantees or makes certain that a particular condition, outcome, or state holds for another entity or situation.
  • C. hasEquivalent chosen
    Indicates that two entities are considered equal in value, meaning, or function within a given context.
  • D. isStable
    Indicates that the state, condition, or configuration of an entity does not change significantly over time or under expected variations in its environment.
  • E. obeysLaw
    Indicates that an entity follows, complies with, or acts in accordance with a specified law or set of laws.
  • 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_69a2e7e5c5bc8190a1dc8178218fba40 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2efbed5b88190a45716812eb4cfdf completed Feb. 28, 2026, 1:38 p.m.
PD Predicate disambiguation batch_69a2ede8eac081908dffade6a5e7950b completed Feb. 28, 2026, 1:30 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.