Triple

T5636996
Position Surface form Disambiguated ID Type / Status
Subject Beta Crucis E147971 entity
Predicate hasLuminosity_solar P7281 FINISHED
Object about 34,000 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: about 34,000 | Statement: [Beta Crucis, hasLuminosity_solar, about 34,000]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLuminosity_solar
Context triple: [Beta Crucis, hasLuminosity_solar, about 34,000]
  • A. luminosityRelativeToSun chosen
    Indicates how bright an object is compared to the Sun, expressed as a ratio of their luminosities.
  • B. luminosity_W
    Indicates the luminosity of an object measured in watts, representing the total power it emits as electromagnetic radiation.
  • C. hasMaximumSolarInsolation
    Indicates that an entity receives the highest level of solar radiation or sunlight intensity compared to relevant alternatives or within a given context.
  • D. surfaceBrightness_V_mag_per_arcsec2
    Indicates the surface brightness of an object measured in V-band magnitudes per square arcsecond, relating its emitted light to the area it covers on the sky.
  • 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.

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_69c00907bc8881909ed760d3ed73ef35 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c022809f708190ab859aa446683b10 completed March 22, 2026, 5:10 p.m.
PD Predicate disambiguation batch_69c01b1f12ec8190b4b9d9ee31cabe19 completed March 22, 2026, 4:38 p.m.
Created at: March 22, 2026, 3:41 p.m.