Triple

T2968864
Position Surface form Disambiguated ID Type / Status
Subject The limits of my language mean the limits of my world E80231 entity
Predicate worldDefinitionInContext P45282 FINISHED
Object totality of facts, not of things 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: totality of facts, not of things | Statement: [The limits of my language mean the limits of my world, worldDefinitionInContext, totality of facts, not of things]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: worldDefinitionInContext
Context triple: [The limits of my language mean the limits of my world, worldDefinitionInContext, totality of facts, not of things]
  • A. contextOf
    Indicates that one entity provides the situational, informational, or environmental background within which another entity exists, occurs, or is interpreted.
  • B. worldType
    Indicates the classification or category of world or environment that an entity is associated with.
  • C. context
    Indicates that one entity provides the surrounding circumstances, setting, or background within which another entity, event, or statement occurs or is interpreted.
  • D. worldStyle
    Indicates the stylistic or aesthetic manner in which a world, setting, or environment is presented or designed.
  • E. placesInContext
    Indicates that one entity situates, interprets, or frames another entity within a particular context or surrounding circumstances.
  • 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_69ad8b14ffe881908ffed62f9595c867 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9970e2c08190affa5efedb9aad75 completed March 8, 2026, 3:44 p.m.
PD Predicate disambiguation batch_69ad960e71f8819088179d11248c6ed0 completed March 8, 2026, 3:30 p.m.
PDg Predicate description generation batch_69ad98379fac8190a4dfe530787703c9 completed March 8, 2026, 3:39 p.m.
Created at: March 8, 2026, 2:58 p.m.