Triple

T694013
Position Surface form Disambiguated ID Type / Status
Subject Berlin Circle E13856 entity
Predicate hasPhilosophicalFocus P3051 FINISHED
Object unity of science 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: unity of science | Statement: [Berlin Circle, hasPhilosophicalFocus, unity of science]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPhilosophicalFocus
Context triple: [Berlin Circle, hasPhilosophicalFocus, unity of science]
  • A. philosophicalTheme chosen
    Indicates that a work, idea, or discourse centrally involves or explores a particular philosophical concept, question, or line of thought.
  • B. philosophicalMethod
    Indicates the method, approach, or technique used in conducting philosophical inquiry or reasoning.
  • C. philosophicalConcept
    Indicates that one entity is a philosophical concept that characterizes, explains, or is thematically central to the other entity.
  • D. philosophicalTradition
    Indicates a relationship where an entity is associated with, belongs to, or is characterized by a particular philosophical school, movement, or line of thought.
  • E. philosophicalPositionExpressed
    Indicates that an entity articulates, endorses, or otherwise conveys a specific philosophical stance, view, or doctrine.
  • 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_69a493406c408190957eeec9048a8fb6 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a0b1e1d08190bdd42f57be5c2a6b completed March 1, 2026, 8:25 p.m.
PD Predicate disambiguation batch_69a49d23e0a08190b08be9d1eff2a1bb completed March 1, 2026, 8:10 p.m.
Created at: March 1, 2026, 7:36 p.m.