Triple

T8026549
Position Surface form Disambiguated ID Type / Status
Subject Carnegie Irvine Galaxy Survey E186868 entity
Predicate analysisMethod P28210 FINISHED
Object two-dimensional image decomposition 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: two-dimensional image decomposition | Statement: [Carnegie Irvine Galaxy Survey, analysisMethod, two-dimensional image decomposition]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: analysisMethod
Context triple: [Carnegie Irvine Galaxy Survey, analysisMethod, two-dimensional image decomposition]
  • A. analyzes
    Indicates that one entity systematically examines or evaluates another entity to understand its nature, structure, or components.
  • B. helpsAnalyze
    Indicates that one entity assists another in examining, interpreting, or understanding something in a more detailed or effective way.
  • C. hasAnalysis
    Indicates that an entity is associated with, or has undergone, a particular analysis or examination.
  • D. methodologicallyAssociatedWith
    Indicates a relationship where two entities are connected through shared, related, or jointly applied methods, procedures, or methodological approaches.
  • E. methodologyType chosen
    Indicates the specific kind or category of method or procedure used in carrying out an activity or study.
  • 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_69ca82ad4e2c8190a693e3c9e30fe66f completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3ecb00648190bb3144acf3492bb3 completed March 31, 2026, 3:26 a.m.
PD Predicate disambiguation batch_69cb049253d08190bafcecfde493ab8b completed March 30, 2026, 11:17 p.m.
Created at: March 30, 2026, 5:21 p.m.