Triple

T19305829
Position Surface form Disambiguated ID Type / Status
Subject Ursa Major I Dwarf Galaxy E482824 entity
Predicate surfaceBrightness_V_magPerArcsec2 P61265 FINISHED
Object ~27.5 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: ~27.5 | Statement: [Ursa Major I Dwarf Galaxy, surfaceBrightness_V_magPerArcsec2, ~27.5]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: surfaceBrightness_V_magPerArcsec2
Context triple: [Ursa Major I Dwarf Galaxy, surfaceBrightness_V_magPerArcsec2, ~27.5]
  • A. surfaceBrightness_V_mag_per_arcsec2 chosen
    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.
  • B. apparentBrightness
    Indicates how bright one object appears from the perspective or location of another, regardless of its actual intrinsic luminosity.
  • C. surfaceBrightnessClass
    Indicates the qualitative classification of how bright an extended object (such as a galaxy) appears per unit area on the sky.
  • D. intrinsicBrightness
    Indicates the inherent level of light or luminosity an entity possesses, independent of external factors or observation conditions.
  • E. surfaceBrightnessProfile
    Indicates the distribution of brightness as a function of position across a surface, typically describing how intensity changes from one region to another.
  • 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_69d8e8d04d5c8190baa816986f2b1d1e completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e604c84fe08190869463bdd0324160 completed April 20, 2026, 10:49 a.m.
PD Predicate disambiguation batch_69e4dd0bc7508190a6f9d56bd4c3404f completed April 19, 2026, 1:47 p.m.
Created at: April 10, 2026, 1:31 p.m.