Triple

T8565802
Position Surface form Disambiguated ID Type / Status
Subject Nubian languages E202798 entity
Predicate hasAncientLiteraryHistory P32654 FINISHED
Object true 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: true | Statement: [Nubian languages, hasAncientLiteraryHistory, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasAncientLiteraryHistory
Context triple: [Nubian languages, hasAncientLiteraryHistory, true]
  • A. hasWritingTraditionSince
    Indicates that a writing tradition has been present or established for an entity starting from a specified point in time.
  • B. hasClassicalLiterature
    Indicates that an entity is associated with, contains, or possesses works of classical literature.
  • C. hasRichOralTradition chosen
    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.
  • D. hasLiterarySignificance
    Indicates that something holds notable importance, influence, or value within the realm of literature or literary studies.
  • E. literaryTradition
    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.
  • 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_69ca8327b0a881908606ff860713964d completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe9d2331881909d92ddde90f580e9 completed March 31, 2026, 3:35 p.m.
PD Predicate disambiguation batch_69cbd11856048190a1ce4b83a38f6965 completed March 31, 2026, 1:50 p.m.
Created at: March 30, 2026, 6:20 p.m.