Triple

T11252343
Position Surface form Disambiguated ID Type / Status
Subject Mobius E266348 entity
Predicate technologyEffect P98725 FINISHED
Object distorts perception of reality 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: distorts perception of reality | Statement: [Mobius, technologyEffect, distorts perception of reality]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: technologyEffect
Context triple: [Mobius, technologyEffect, distorts perception of reality]
  • A. technologyTrend
    Indicates a relationship where a technology is characterized as part of a broader pattern of change or direction in technological development over time.
  • B. technologyAdvantage
    Indicates that one entity possesses a superior or more advanced technological capability compared to another entity.
  • C. technologyUse
    Indicates the use or application of a particular technology by an entity to perform an action or achieve a purpose.
  • D. technologyParadigm
    Indicates a relationship where one entity represents or defines the overarching technological model, framework, or approach within which another entity operates or is categorized.
  • E. technologyTransition
    Indicates a change in the primary technology, method, or system used from one technological state or solution to another.
  • 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_69d6aac7953c8190b82caf9d7640fdf9 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e933648481909873094bc89ed041 completed April 9, 2026, 6 p.m.
PD Predicate disambiguation batch_69d78793c00481908a3f764b610b77a4 completed April 9, 2026, 11:03 a.m.
PDg Predicate description generation batch_69d796cf74308190a5b29d0dd82954a2 completed April 9, 2026, 12:08 p.m.
Created at: April 8, 2026, 9:31 p.m.