Triple

T7833391
Position Surface form Disambiguated ID Type / Status
Subject Lyapunov time E181628 entity
Predicate shortLyapunovTimeIndicates P79268 FINISHED
Object high sensitivity to initial conditions 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: high sensitivity to initial conditions | Statement: [Lyapunov time, shortLyapunovTimeIndicates, high sensitivity to initial conditions]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: shortLyapunovTimeIndicates
Context triple: [Lyapunov time, shortLyapunovTimeIndicates, high sensitivity to initial conditions]
  • A. timePeriodImplied
    Indicates that a time period is inferred or implied by context rather than being explicitly specified.
  • B. isShortLived
    Indicates that an entity exists or remains in a particular state for only a brief or limited period of time.
  • C. hasMeanLifetime
    Indicates the characteristic average time duration for which an entity, state, or condition persists before it decays, ends, or changes.
  • D. lifespanType
    Indicates the type or category of lifespan associated with an entity, such as whether it is finite, indefinite, or of a particular defined duration.
  • E. timeDependence
    Indicates that one entity’s state, value, or behavior is determined by or varies as a function of another entity over time.
  • 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_69ca8284a25c8190a1a20afad30da792 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb064a47648190af2ca2b336584a92 completed March 30, 2026, 11:24 p.m.
PD Predicate disambiguation batch_69cae91e98988190abd4ece75932c589 completed March 30, 2026, 9:20 p.m.
PDg Predicate description generation batch_69caf7855a3c81908b9318f7186fc0c0 completed March 30, 2026, 10:21 p.m.
Created at: March 30, 2026, 4:45 p.m.