Triple

T2373212
Position Surface form Disambiguated ID Type / Status
Subject Wide Field and Planetary Camera 2 E46135 entity
Predicate primaryScienceRole P37042 FINISHED
Object imaging of astronomical objects 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: imaging of astronomical objects | Statement: [Wide Field and Planetary Camera 2, primaryScienceRole, imaging of astronomical objects]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: primaryScienceRole
Context triple: [Wide Field and Planetary Camera 2, primaryScienceRole, imaging of astronomical objects]
  • A. primaryScience
    Indicates that one entity serves as the main or principal scientific focus, discipline, or domain associated with another entity.
  • B. primaryScienceUse chosen
    Indicates that something serves as the main or principal scientific purpose or application of an entity or resource.
  • C. primaryScienceBand
    Indicates that one entity serves as the main or principal science band associated with another entity.
  • D. positionOnScience
    Indicates the stance, viewpoint, or attitude an entity holds regarding science or scientific matters.
  • E. hasEducationalRole
    Indicates that an entity holds a specific function, position, or responsibility within an educational context or setting.
  • 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_69a88a145268819083e2736cb835c696 completed March 4, 2026, 7:37 p.m.
NER Named-entity recognition batch_69abca4d89248190be7d712d5fa8382b completed March 7, 2026, 6:48 a.m.
PD Predicate disambiguation batch_69abc59d82f08190b7c36982d1ae783d completed March 7, 2026, 6:28 a.m.
Created at: March 4, 2026, 7:56 p.m.