Triple

T5906198
Position Surface form Disambiguated ID Type / Status
Subject D ring E131345 entity
Predicate observedVariability P13845 FINISHED
Object shows temporal changes in brightness and structure 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: shows temporal changes in brightness and structure | Statement: [D ring, observedVariability, shows temporal changes in brightness and structure]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: observedVariability
Context triple: [D ring, observedVariability, shows temporal changes in brightness and structure]
  • A. hasVariability chosen
    Indicates that an entity exhibits variation or fluctuation in its state, value, or characteristics over time or across instances.
  • B. observedVia
    Indicates that something is perceived, detected, or measured through a particular medium, instrument, method, or channel.
  • C. behaviorObserved
    Indicates that a particular behavior or action has been witnessed, recorded, or detected in relation to an entity or context.
  • D. observability
    Indicates that the internal state or behavior of a system can be inferred or monitored through its external outputs or measurements.
  • E. hasDirectionVariability
    Indicates that the direction associated with an entity or process is not fixed but varies over time, space, or conditions.
  • 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_69c0085864a88190a569c05ff7d65f29 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c03ee10b308190afe38b904ae7c5f7 completed March 22, 2026, 7:11 p.m.
PD Predicate disambiguation batch_69c0334fcf6481908e8e74105de9d49b completed March 22, 2026, 6:22 p.m.
Created at: March 22, 2026, 3:59 p.m.