Triple

T7100015
Position Surface form Disambiguated ID Type / Status
Subject Laplace resonance E165431 entity
Predicate dynamicalEffect P53074 FINISHED
Object prevents rapid tidal circularization of Io’s orbit 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: prevents rapid tidal circularization of Io’s orbit | Statement: [Laplace resonance, dynamicalEffect, prevents rapid tidal circularization of Io’s orbit]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: dynamicalEffect
Context triple: [Laplace resonance, dynamicalEffect, prevents rapid tidal circularization of Io’s orbit]
  • A. involvedPhysicalEffect
    Indicates that one entity participates in causing, experiencing, or mediating a physical effect on another entity or the environment.
  • B. hasDynamics
    Indicates that one entity exhibits or is characterized by specific dynamic behavior, changes, or variations over time in relation to another entity or context.
  • C. eventEffect chosen
    Indicates the resulting change, outcome, or consequence that one event has on another state, entity, or event.
  • D. temporalEffect
    Indicates a relationship where one event, state, or action produces consequences or changes that occur at a later time.
  • E. visualEffect
    Indicates that one entity produces, modifies, or is associated with a particular visual effect on another entity or within a scene.
  • 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_69c6887fcddc8190a5d58908f6dee590 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e58531c88190a32746f9a97da709 completed March 27, 2026, 8:16 p.m.
PD Predicate disambiguation batch_69c6e1c313e481908b61a23fc89f9332 completed March 27, 2026, 8 p.m.
Created at: March 27, 2026, 2:42 p.m.