Triple

T8809289
Position Surface form Disambiguated ID Type / Status
Subject Kabiye E209614 entity
Predicate writingStandardDeveloped P30135 FINISHED
Object 20th century 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: 20th century | Statement: [Kabiye, writingStandardDeveloped, 20th century]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: writingStandardDeveloped
Context triple: [Kabiye, writingStandardDeveloped, 20th century]
  • A. developsStandardsFor
    Indicates that one entity creates, defines, or establishes formal standards, guidelines, or specifications for another entity or domain.
  • B. writingSystemStandardized chosen
    Indicates that a writing system has been formally codified and regulated according to an accepted standard or set of rules.
  • C. documentationStandard
    Indicates that there is a specified convention or set of rules governing how documentation should be written, structured, or maintained in relation to an entity or process.
  • D. writtenForm
    Indicates that one entity is the textual or orthographic representation (spelling or written version) of another entity.
  • E. languageStandard
    Indicates that one entity conforms to, is defined by, or is governed by the language rules, specifications, or conventions established by another entity as a standard.
  • 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_69ca8363f3308190a47e3f1ebd51f613 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5fd4cbec8190a929d4e60da8ad65 completed March 31, 2026, 11:59 p.m.
PD Predicate disambiguation batch_69cc5c1f28ec8190a34311cb412920c2 completed March 31, 2026, 11:43 p.m.
Created at: March 30, 2026, 6:45 p.m.