Triple

T2241730
Position Surface form Disambiguated ID Type / Status
Subject A Fair Country E49410 entity
Predicate hasArgumentStyle P1609 FINISHED
Object historical and philosophical analysis 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: historical and philosophical analysis | Statement: [A Fair Country, hasArgumentStyle, historical and philosophical analysis]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasArgumentStyle
Context triple: [A Fair Country, hasArgumentStyle, historical and philosophical analysis]
  • A. hasStyle chosen
    Indicates that an entity possesses, exhibits, or is characterized by a particular style or manner.
  • B. argumentType
    Indicates that one entity serves as a specific semantic or syntactic argument role (such as subject, object, or complement) in relation to another entity or event.
  • C. hasContractStyle
    Indicates that one entity is associated with or characterized by a particular contract style or contractual format.
  • D. hasCallingConvention
    Indicates that a function or method uses a specific calling convention that defines how arguments are passed and results are returned.
  • E. hasSubstyle
    Indicates that one style is a more specific or subordinate variant of another style within a hierarchical style structure.
  • 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_69a88aa979788190ad6500f1d8eee2fc completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc0be7fb4819081a5f9c46b616bdb completed March 7, 2026, 6:07 a.m.
PD Predicate disambiguation batch_69abbdafc07881909101266a33ae7031 completed March 7, 2026, 5:54 a.m.
Created at: March 4, 2026, 7:47 p.m.