Triple

T3724021
Position Surface form Disambiguated ID Type / Status
Subject Varuna E81704 entity
Predicate hasLightcurveAmplitude P51229 FINISHED
Object large 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: large | Statement: [Varuna, hasLightcurveAmplitude, large]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLightcurveAmplitude
Context triple: [Varuna, hasLightcurveAmplitude, large]
  • A. apparentMagnitude
    Indicates the observed brightness of an astronomical object as seen from Earth, on a logarithmic scale where lower values correspond to brighter appearances.
  • B. hasTransitLightCurve
    Indicates that an object exhibits a measurable transit light curve, showing periodic dips in observed brightness due to another body passing in front of it.
  • C. absoluteMagnitudeV
    Indicates the intrinsic brightness of an astronomical object in the visual (V) band, standardized to a fixed reference distance (typically 10 parsecs).
  • D. absoluteMagnitude_V
    Indicates the intrinsic brightness of an object in the V (visual) band, defined as the apparent magnitude it would have at a standard distance of 10 parsecs.
  • E. apparentBrightness
    Indicates how bright one object appears from the perspective or location of another, regardless of its actual intrinsic luminosity.
  • 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_69ad8b1b7ef081908d2d381bbf54985a completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcaf3f2ec8190a3a8f363cfb762f3 completed March 8, 2026, 7:16 p.m.
PD Predicate disambiguation batch_69adc0452f5081909c79e114a86cce8c completed March 8, 2026, 6:30 p.m.
PDg Predicate description generation batch_69adc226fffc81909c679b44e611fee6 completed March 8, 2026, 6:38 p.m.
Created at: March 8, 2026, 3:34 p.m.