Triple

T6832911
Position Surface form Disambiguated ID Type / Status
Subject Coulomb's law E157380 entity
Predicate experimentalBasis P58039 FINISHED
Object torsion balance experiments 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: torsion balance experiments | Statement: [Coulomb's law, experimentalBasis, torsion balance experiments]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: experimentalBasis
Context triple: [Coulomb's law, experimentalBasis, torsion balance experiments]
  • A. empiricalBasis chosen
    Indicates that one entity serves as the empirical evidence, data, or observational support underpinning the validity or justification of another entity.
  • B. experiment
    Indicates that an entity conducts, participates in, or is the subject of a controlled test or trial to observe outcomes or validate hypotheses.
  • C. experimentedOn
    Indicates that one entity conducted experiments or tests on another entity as the subject of investigation.
  • D. featuresExperiment
    Indicates that an entity is involved in, or is the subject of, a specific experimental setup, test, or trial.
  • E. parallelExperiment
    Indicates that one experiment is conducted alongside another under comparable conditions, typically for simultaneous testing or comparison.
  • 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_69c6882c53608190b99aebef079b23bd completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d62b1e8c8190a81d91191a54b073 completed March 27, 2026, 7:10 p.m.
PD Predicate disambiguation batch_69c6d09d95f0819091ca7f897dc21efe completed March 27, 2026, 6:46 p.m.
Created at: March 27, 2026, 2:18 p.m.