Triple

T4214663
Position Surface form Disambiguated ID Type / Status
Subject JUICE mission E94185 entity
Predicate hasInstrumentType P12711 FINISHED
Object imaging instruments 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 instruments | Statement: [JUICE mission, hasInstrumentType, imaging instruments]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasInstrumentType
Context triple: [JUICE mission, hasInstrumentType, imaging instruments]
  • A. usesInstrument
    Indicates that an agent performs an action by employing a specific instrument or tool as the means to carry it out.
  • B. typeOfInstrument chosen
    Indicates the specific kind or category of instrument associated with an entity.
  • C. alsoAppliesInstrument
    Indicates that a condition, rule, or characteristic that applies to one instrument also applies to another instrument.
  • D. hasMusicalInstrument
    Indicates that one entity possesses, uses, or is associated with a particular musical instrument.
  • E. allowedInstrument
    Indicates that a particular instrument is permitted or authorized for use in a given context or activity.
  • 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_69b3451997e08190851db4a9a588837d completed March 12, 2026, 10:58 p.m.
NER Named-entity recognition batch_69b34e098da881909a0cc339cc186627 completed March 12, 2026, 11:36 p.m.
PD Predicate disambiguation batch_69b347efd9b08190bb50f82e4e7fe06d completed March 12, 2026, 11:10 p.m.
Created at: March 12, 2026, 11:04 p.m.