Triple

T30515170
Position Surface form Disambiguated ID Type / Status
Subject Kuikuro people E776543 entity
Predicate linguisticTraditions P2989 FINISHED
Object oral literature 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: oral literature | Statement: [Kuikuro people, linguisticTraditions, oral literature]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: linguisticTraditions
Context triple: [Kuikuro people, linguisticTraditions, oral literature]
  • A. laterTraditionsLanguage
    Indicates that later traditions or sources refer to or describe the subject using the specified language.
  • B. linguisticStudies
    Indicates that an entity engages in or is associated with the academic study or analysis of language and its structure.
  • C. literaryTradition chosen
    Indicates a relationship where a work, practice, or expression belongs to, arises from, or participates in a particular established body of literary customs, styles, or conventions.
  • D. governingLanguageTradition
    Indicates that one language tradition holds authoritative or regulatory influence over another in terms of norms, standards, or accepted practices.
  • E. languageTraditionally
    Indicates that something is customarily or historically expressed, written, or communicated in a particular language.
  • 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_69f2249b23c4819087fa85496d92f43f completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f687bcc4b48190b7c2a6c814bf2916 completed May 2, 2026, 11:24 p.m.
PD Predicate disambiguation batch_69f67e42d6688190b60e91d2c388c555 completed May 2, 2026, 10:44 p.m.
Created at: April 29, 2026, 8:16 p.m.