Triple

T6094967
Position Surface form Disambiguated ID Type / Status
Subject Saiph E135853 entity
Predicate hasStellarSpectrum P68087 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: [Saiph, hasStellarSpectrum, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasStellarSpectrum
Context triple: [Saiph, hasStellarSpectrum, yes]
  • A. spectralClass
    Indicates the classification of an astronomical object based on the characteristics of its spectrum, such as temperature and spectral features.
  • B. hasStellarStream
    Indicates that one astronomical object possesses or is associated with a coherent flow of stars, known as a stellar stream, typically resulting from tidal interactions or disruption.
  • C. dominantSpectralType
    Indicates the primary or most prevalent spectral type characterizing the electromagnetic emission of an object or region.
  • D. hasSpectrograph
    Indicates that one entity is equipped with or contains a spectrograph instrument.
  • E. containsStellarPopulation
    Indicates that one astronomical object includes or encompasses a group of stars as part of its stellar content.
  • 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_69c0087cd3c48190b459848c72d84eb1 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05a963bac8190bc0c33fef187875c completed March 22, 2026, 9:09 p.m.
PD Predicate disambiguation batch_69c049f5ac988190b62ba565153aaa35 completed March 22, 2026, 7:58 p.m.
PDg Predicate description generation batch_69c04e8e3f2c8190be459ca02f9b315a completed March 22, 2026, 8:18 p.m.
Created at: March 22, 2026, 4:12 p.m.