Triple

T4473129
Position Surface form Disambiguated ID Type / Status
Subject Akatsuki E98541 entity
Predicate IR1Purpose P79 FINISHED
Object near-infrared imaging of lower and middle atmosphere 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: near-infrared imaging of lower and middle atmosphere | Statement: [Akatsuki, IR1Purpose, near-infrared imaging of lower and middle atmosphere]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: IR1Purpose
Context triple: [Akatsuki, IR1Purpose, near-infrared imaging of lower and middle atmosphere]
  • A. purpose chosen
    Indicates that one entity exists, is done, or is used in order to achieve, support, or serve the goal, function, or intended outcome of another entity.
  • B. reasonForUse
    Indicates that one entity specifies the justification, purpose, or motivation for using another entity.
  • C. accessPurpose
    Indicates that one entity uses or accesses another entity specifically for a defined purpose or intended use.
  • D. TitleIPrimaryPurpose
    Indicates that something’s main or principal purpose is associated with Title I (such as a program, activity, or resource whose primary function is to serve Title I objectives).
  • E. additionalFundingPurpose
    Indicates the specific reason or intended use for which additional funding is sought or allocated beyond the original amount.
  • 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_69b3454b4ae481908967426dd37284d6 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b356fb69a0819099f0005779f4fcac completed March 13, 2026, 12:14 a.m.
PD Predicate disambiguation batch_69b3563bf4f8819081726cde3a34460b completed March 13, 2026, 12:11 a.m.
Created at: March 12, 2026, 11:35 p.m.