Triple

T20188992
Position Surface form Disambiguated ID Type / Status
Subject Ideas I E492933 entity
Predicate developsMethod P116174 FINISHED
Object phenomenological reduction 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: phenomenological reduction | Statement: [Ideas I, developsMethod, phenomenological reduction]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: developsMethod
Context triple: [Ideas I, developsMethod, phenomenological reduction]
  • A. developedMethodUsedIn
    Indicates that a method created or developed by one entity is subsequently employed or applied in another entity, such as a study, project, or process.
  • B. developmentMethod
    Indicates the process, technique, or approach used to create, build, or evolve something.
  • C. developedMethodology chosen
    Indicates that one entity created, designed, or established a specific methodology used by another entity or in a particular context.
  • D. developsDuring
    Indicates that one process, condition, or characteristic comes into existence or forms over the course of a specified time period, phase, or event.
  • E. programmingMethod
    Indicates the method, technique, or approach used to carry out a programming-related activity or task.
  • 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_69da6268a034819081cbd9ea5a1c9475 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66ad404508190981cfb7cab18d8d3 completed April 20, 2026, 6:05 p.m.
PD Predicate disambiguation batch_69e55b11124c8190babacf2a0fe2d057 completed April 19, 2026, 10:45 p.m.
Created at: April 11, 2026, 11:37 p.m.