Triple

T14773618
Position Surface form Disambiguated ID Type / Status
Subject London dispersion forces E347195 entity
Predicate energyDependenceOnDistance P9781 FINISHED
Object approximately proportional to 1/r^6 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: approximately proportional to 1/r^6 | Statement: [London dispersion forces, energyDependenceOnDistance, approximately proportional to 1/r^6]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: energyDependenceOnDistance
Context triple: [London dispersion forces, energyDependenceOnDistance, approximately proportional to 1/r^6]
  • A. energyDependence
    Indicates that one entity’s state, behavior, or outcome is contingent on or influenced by the amount, source, or availability of energy associated with another entity.
  • B. distanceInMegaparsecs
    Indicates the physical separation between two entities measured in units of megaparsecs.
  • C. energyConcentration
    Indicates a relationship where energy is gathered, focused, or accumulated within a specific region, object, or system.
  • D. inverselyProportionalTo chosen
    Indicates that as the value of one quantity increases, the value of the other quantity decreases in such a way that their product remains constant.
  • E. distanceFromEarth
    Indicates the measured or calculated spatial separation between an entity and the planet Earth.
  • 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_69d822e9b9e08190bedcc31a163fda82 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec81485e08190be35baafcf22b6f2 completed April 14, 2026, 11:04 p.m.
PD Predicate disambiguation batch_69de8c02e5c08190943c27594026faf7 completed April 14, 2026, 6:48 p.m.
Created at: April 10, 2026, 1:31 a.m.