Triple

T124058
Position Surface form Disambiguated ID Type / Status
Subject Principia Mathematica E2507 entity
Predicate logicSystem P4930 FINISHED
Object ramified theory of types 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: ramified theory of types | Statement: [Principia Mathematica, logicSystem, ramified theory of types]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: logicSystem
Context triple: [Principia Mathematica, logicSystem, ramified theory of types]
  • A. decisionLanguage
    Indicates that a decision, statement, or choice is expressed or recorded in a particular natural language.
  • B. legalSystem
    Indicates the formal framework of laws, rules, and institutions that governs how legal matters are defined, interpreted, and enforced within a society or jurisdiction.
  • C. legalDoctrine
    Indicates that one legal principle, rule, or theory is being applied, referenced, or relied upon as an authoritative basis for interpreting or deciding a legal issue.
  • D. notableSystem
    Indicates that a system is recognized as significant, prominent, or noteworthy in a particular context or domain.
  • E. hasFormulation
    Indicates that one entity is expressed, prepared, or configured in a particular form or composition defined by another entity.
  • 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_69a251b54ea88190b18281669f59b4c0 completed Feb. 28, 2026, 2:23 a.m.
NER Named-entity recognition batch_69a2573ce0ac8190b49fb31d3d475bf9 completed Feb. 28, 2026, 2:47 a.m.
PD Predicate disambiguation batch_69a2564a54948190ba30bee858173b27 completed Feb. 28, 2026, 2:43 a.m.
PDg Predicate description generation batch_69a256ea776081908fec36c3fdfb8d84 completed Feb. 28, 2026, 2:46 a.m.
Created at: Feb. 28, 2026, 2:27 a.m.