Triple

T4886764
Position Surface form Disambiguated ID Type / Status
Subject Ages of Man E109457 entity
Predicate hasInterpretiveTradition P39675 FINISHED
Object allegorical readings in antiquity 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: allegorical readings in antiquity | Statement: [Ages of Man, hasInterpretiveTradition, allegorical readings in antiquity]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasInterpretiveTradition
Context triple: [Ages of Man, hasInterpretiveTradition, allegorical readings in antiquity]
  • A. hasTraditionalInterpretation chosen
    Indicates that something is associated with or understood according to a long-established or customary interpretation.
  • B. hasRichOralTradition
    Indicates that an entity is associated with a longstanding, culturally significant body of stories, histories, or knowledge transmitted primarily through spoken word rather than written texts.
  • C. hasSourceTradition
    Indicates that something originates from, or is derived within, a particular cultural, religious, intellectual, or historical tradition.
  • D. containsInterpretationOf
    Indicates that one entity includes or embodies an interpretation or understanding of another entity.
  • E. hasSecondaryLanguageTradition
    Indicates that an entity possesses an additional, non-primary language tradition associated with it, such as in its use, documentation, or cultural context.
  • 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_69bd440f71348190b99938e59fb7f9a1 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6e03a7fc8190bcac63f4b19e586e completed March 20, 2026, 3:55 p.m.
PD Predicate disambiguation batch_69bd6c2be5e881909f6ec9c3bcde49f3 completed March 20, 2026, 3:47 p.m.
Created at: March 20, 2026, 1:28 p.m.