Triple

T8684952
Position Surface form Disambiguated ID Type / Status
Subject Universe E206133 entity
Predicate hasBaryonDensityParameter P57006 FINISHED
Object about 0.05 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 0.05 | Statement: [Universe, hasBaryonDensityParameter, about 0.05]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasBaryonDensityParameter
Context triple: [Universe, hasBaryonDensityParameter, about 0.05]
  • A. hasBaryonNumber
    Indicates that an entity possesses a specific baryon number, quantifying its net content of baryonic matter (baryons minus antibaryons).
  • B. baryonNumber
    Indicates that a specified baryon number (a conserved quantum number related to the count of baryons minus antibaryons) is assigned to or associated with an entity or interaction.
  • C. baryonicContent chosen
    Indicates the proportion or amount of ordinary (baryonic) matter associated with or contained within an astronomical object or system.
  • D. hasMeanDensity
    Indicates that one entity possesses a specified average mass per unit volume (mean density).
  • E. hasCosmologicalParameterDependence
    Indicates that the value or behavior of something varies as a function of one or more cosmological parameters (such as matter density, dark energy, or curvature).
  • 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_69ca835379688190aa06b9d98e684d58 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc4aeae740819099093906ccc5f640 completed March 31, 2026, 10:30 p.m.
PD Predicate disambiguation batch_69cc4569f9048190b9c86b4c81103d35 completed March 31, 2026, 10:06 p.m.
Created at: March 30, 2026, 6:32 p.m.