Triple

T2653379
Position Surface form Disambiguated ID Type / Status
Subject linguistic turn E53950 entity
Predicate hasIntellectualContext P7514 FINISHED
Object analytic philosophy 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: analytic philosophy | Statement: [linguistic turn, hasIntellectualContext, analytic philosophy]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasIntellectualContext
Context triple: [linguistic turn, hasIntellectualContext, analytic philosophy]
  • A. hasCognitiveComponent
    Indicates that the related entity or process involves or depends on mental activities such as thinking, reasoning, perception, or understanding.
  • B. intellectualTrend chosen
    Indicates a relationship where an idea, movement, or way of thinking is recognized as an intellectual trend influencing thought or discourse.
  • C. hasHistoricalContext
    Indicates that something is related to, influenced by, or best understood in light of specific past events, conditions, or time periods.
  • D. hasCulturalConcept
    Indicates that an entity embodies, includes, or is associated with a particular cultural idea, value, practice, or construct.
  • E. contextOf
    Indicates that one entity provides the situational, informational, or environmental background within which another entity exists, occurs, or is interpreted.
  • 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_69ab495e192081909c77b622e8e7e15a completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abda0ba2208190ad87763ecbef8c3c completed March 7, 2026, 7:55 a.m.
PD Predicate disambiguation batch_69abd815d06481909535c02b0aba8553 completed March 7, 2026, 7:47 a.m.
Created at: March 6, 2026, 9:53 p.m.