Triple

T13690001
Position Surface form Disambiguated ID Type / Status
Subject Carme group E328234 entity
Predicate hasDynamicalStabilityTimescale P44362 FINISHED
Object long-term stable on solar system timescales 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: long-term stable on solar system timescales | Statement: [Carme group, hasDynamicalStabilityTimescale, long-term stable on solar system timescales]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasDynamicalStabilityTimescale
Context triple: [Carme group, hasDynamicalStabilityTimescale, long-term stable on solar system timescales]
  • A. hasOrbitalStability chosen
    Indicates that an object maintains a stable, non-disruptive orbit around another body over time.
  • B. isConditionallyStable
    Indicates that an entity remains stable only under certain specified conditions or constraints.
  • C. haveStabilityDeterminedBy
    Indicates that the stability of one entity is determined or governed by another specified factor or entity.
  • D. longLyapunovTimeIndicates
    Indicates that the system’s Lyapunov time is long, meaning small differences in initial conditions grow slowly and the system remains predictable over a relatively extended period.
  • E. isStable
    Indicates that the state, condition, or configuration of an entity does not change significantly over time or under expected variations in its environment.
  • 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_69d8076ff62081908a7bd79889edd7a0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc6721c248190ac48491b5f39c8f0 completed April 12, 2026, 4:21 p.m.
PD Predicate disambiguation batch_69dbbe9059488190a8113177c83e1481 completed April 12, 2026, 3:47 p.m.
Created at: April 9, 2026, 9:53 p.m.