Triple

T8758129
Position Surface form Disambiguated ID Type / Status
Subject Pemon language E208122 entity
Predicate hasOrthographyStatus P85225 FINISHED
Object standardized to a limited extent 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 to a limited extent | Statement: [Pemon language, hasOrthographyStatus, standardized to a limited extent]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasOrthographyStatus
Context triple: [Pemon language, hasOrthographyStatus, standardized to a limited extent]
  • A. hasOfficialOrthography
    Indicates that an entity has a formally recognized and standardized system for writing its language or name.
  • B. hasOrthographyDeveloper
    Indicates that an entity is responsible for creating, designing, or standardizing the writing system or orthography used by another entity.
  • C. hasStandardOrthographySince
    Indicates that a language or writing system has used a particular standardized orthography starting from a specified point in time.
  • D. hasOrthographicReform
    Indicates that an entity has undergone or is associated with a change or standardization in its writing system or spelling conventions.
  • E. hasOrthographicConvention
    Indicates that there is a specific writing or spelling convention that governs how something is represented in written form.
  • F. None of above. chosen

Provenance (4 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_69ca835cd6b08190bd7c63db92f53c86 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5ddc2d9c81908948aee2b956cce4 completed March 31, 2026, 11:50 p.m.
PD Predicate disambiguation batch_69cc5c1884bc8190a46e8308db31f7ab completed March 31, 2026, 11:43 p.m.
PDg Predicate description generation batch_69cc5cfddef48190aee764ee7b25bae9 completed March 31, 2026, 11:47 p.m.
Created at: March 30, 2026, 6:40 p.m.