Triple

T33212185
Position Surface form Disambiguated ID Type / Status
Subject OSIRIS-APEX E850189 entity
Predicate reusesInstrument P176413 FINISHED
Object OCAMS camera suite NE NERFINISHED

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: OCAMS camera suite | Statement: [OSIRIS-APEX, reusesInstrument, OCAMS camera suite]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: reusesInstrument
Context triple: [OSIRIS-APEX, reusesInstrument, OCAMS camera suite]
  • A. usesInstrument
    Indicates that an agent performs an action by employing a specific instrument or tool as the means to carry it out.
  • B. appliesInstrument
    Indicates that an agent performs an action using a specific instrument or tool as the means to carry out that action.
  • C. reliesOnInstrument
    Indicates that an action or process depends on or is carried out using a particular instrument or tool.
  • D. usedAsInstrumentBy
    Indicates that one entity functions as a tool, means, or instrument through which another entity performs an action or achieves an effect.
  • E. dedicatedInstrument
    Indicates that one entity serves as a specific, exclusive instrument or tool used for the purposes of another entity or activity.
  • 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_69f3495fb92c819083ce65d0ddee7a76 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6e02ba6b881908dfafc52d3b75f1c completed May 3, 2026, 5:42 a.m.
PD Predicate disambiguation batch_69f6de09c2f481909f8b2545d3208c9f completed May 3, 2026, 5:32 a.m.
PDg Predicate description generation batch_69f6e029f0f88190b1f88d82a4a2cabd completed May 3, 2026, 5:42 a.m.
Created at: May 1, 2026, 1:30 a.m.