Triple

T6668464
Position Surface form Disambiguated ID Type / Status
Subject Standard Moroccan Amazigh E151663 entity
Predicate hasOrthographyType P67410 FINISHED
Object standardized Tifinagh orthography 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: standardized Tifinagh orthography | Statement: [Standard Moroccan Amazigh, hasOrthographyType, standardized Tifinagh orthography]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasOrthographyType
Context triple: [Standard Moroccan Amazigh, hasOrthographyType, standardized Tifinagh orthography]
  • A. hasOrthographicConvention chosen
    Indicates that there is a specific writing or spelling convention that governs how something is represented in written form.
  • B. hasOfficialOrthography
    Indicates that an entity has a formally recognized and standardized system for writing its language or name.
  • C. hasOrthographicReform
    Indicates that an entity has undergone or is associated with a change or standardization in its writing system or spelling conventions.
  • D. hasStandardOrthographySince
    Indicates that a language or writing system has used a particular standardized orthography starting from a specified point in time.
  • E. hasOrthographyDeveloper
    Indicates that an entity is responsible for creating, designing, or standardizing the writing system or orthography used by another entity.
  • 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_69c687f71fc081909dbd45d6377f6045 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6ce738fe88190a5557900efeec7ec completed March 27, 2026, 6:37 p.m.
PD Predicate disambiguation batch_69c6ad09974c81908784300ae218961f completed March 27, 2026, 4:15 p.m.
Created at: March 27, 2026, 2:02 p.m.