Triple

T244438
Position Surface form Disambiguated ID Type / Status
Subject law of universal gravitation E5005 entity
Predicate inverselyProportionalTo P9781 FINISHED
Object square of the distance between the masses 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: square of the distance between the masses | Statement: [law of universal gravitation, inverselyProportionalTo, square of the distance between the masses]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: inverselyProportionalTo
Context triple: [law of universal gravitation, inverselyProportionalTo, square of the distance between the masses]
  • A. officialProportion
    Indicates the proportion or percentage of something as formally defined or reported by an official source or authority.
  • B. invariantUnder
    Indicates that a property, structure, or quantity remains unchanged when a specified transformation or operation is applied.
  • C. quantifies
    Indicates that one entity expresses or specifies the amount, number, or degree of another entity.
  • D. constant
    Indicates that the relationship or value does not change across different instances, contexts, or over time.
  • E. equivalentTo
    Indicates that two entities represent the same concept, value, or state, and can be treated as interchangeable in the given context.
  • 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_69a257c3d0708190b0871c4269d273e6 completed Feb. 28, 2026, 2:49 a.m.
NER Named-entity recognition batch_69a25dcd2b208190855d5d8d70a3acfc completed Feb. 28, 2026, 3:15 a.m.
PD Predicate disambiguation batch_69a25b62839c8190824064fe5da6a92a completed Feb. 28, 2026, 3:05 a.m.
PDg Predicate description generation batch_69a25dcba5148190ab80fd14c7cf4bb4 completed Feb. 28, 2026, 3:15 a.m.
Created at: Feb. 28, 2026, 2:53 a.m.