Triple

T4645516
Position Surface form Disambiguated ID Type / Status
Subject Hume’s Principle (derivable, not postulated) E101762 entity
Predicate logicalRole P34667 FINISHED
Object numerical equivalence principle for concepts 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: numerical equivalence principle for concepts | Statement: [Hume’s Principle (derivable, not postulated), logicalRole, numerical equivalence principle for concepts]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: logicalRole
Context triple: [Hume’s Principle (derivable, not postulated), logicalRole, numerical equivalence principle for concepts]
  • A. conceptualRole chosen
    Indicates the functional or semantic role that one concept plays in relation to another within a conceptual structure or system.
  • B. identificationRole
    Indicates that an entity serves as an identifier or plays a role in uniquely distinguishing or recognizing another entity.
  • C. effectiveRole
    Indicates the functional role or capacity an entity actually performs or holds in a given context, regardless of its formal or nominal designation.
  • D. roleInText
    Indicates that an entity participates in a text with a specific function or capacity (e.g., author, editor, character).
  • E. encodingRole
    Indicates the role or function an entity has in the process of encoding information into a particular form or representation.
  • 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_69bd43d3bc7c81908f81fcf380476b0f completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd6632708c8190b627d99363ab062c completed March 20, 2026, 3:22 p.m.
PD Predicate disambiguation batch_69bd620fc5e081908325ac8e6a6384ab completed March 20, 2026, 3:04 p.m.
Created at: March 20, 2026, 1:14 p.m.