Triple

T34185583
Position Surface form Disambiguated ID Type / Status
Subject NGC 7314 E876948 entity
Predicate showsOpticalVariability P131723 FINISHED
Object yes 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: yes | Statement: [NGC 7314, showsOpticalVariability, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: showsOpticalVariability
Context triple: [NGC 7314, showsOpticalVariability, yes]
  • A. hasLightcurveVariations chosen
    Indicates that an object exhibits measurable changes in its brightness over time, as captured in its lightcurve.
  • B. hasSpectralVariability
    Indicates that an entity exhibits changes or fluctuations in its spectral properties over time or under different conditions.
  • C. isVariableStar
    Indicates that an astronomical object exhibits intrinsic brightness variations over time, classifying it as a variable star.
  • D. opticalProperty
    Indicates a relationship where an entity has or is characterized by a specific optical property, such as how it interacts with or responds to light.
  • E. hasVariability
    Indicates that an entity exhibits variation or fluctuation in its state, value, or characteristics over time or across instances.
  • 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_69f349ae640c8190b9cd220b5368d8b6 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f71362f1448190985a80ce7af475cb completed May 3, 2026, 9:20 a.m.
PD Predicate disambiguation batch_69f7127884388190884f23d181a65d19 completed May 3, 2026, 9:16 a.m.
Created at: May 1, 2026, 1:55 a.m.