Triple

T1137415
Position Surface form Disambiguated ID Type / Status
Subject Cyrillic Extended-B E23171 entity
Predicate plane P5705 FINISHED
Object Basic Multilingual Plane E23919 NE 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: Basic Multilingual Plane | Statement: [Cyrillic Extended-B, plane, Basic Multilingual Plane]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Basic Multilingual Plane
Context triple: [Cyrillic Extended-B, plane, Basic Multilingual Plane]
  • A. Basic Multilingual Plane chosen
    The Basic Multilingual Plane is the primary block of the Unicode standard that contains the most commonly used characters for modern scripts and symbols.
  • B. Supplementary Multilingual Plane
    The Supplementary Multilingual Plane is a range of Unicode code points (Plane 1) that contains historic scripts, musical notation, and various specialized characters beyond the Basic Multilingual Plane.
  • C. Supplementary Ideographic Plane
    The Supplementary Ideographic Plane is a Unicode plane that contains additional CJK (Chinese, Japanese, and Korean) ideographic characters beyond those in the Basic Multilingual Plane.
  • D. Unicode
    Unicode is a universal character encoding standard that assigns unique code points to virtually all written scripts, symbols, and emojis used in modern computing.
  • E. Unicode Technical Standard #10
    Unicode Technical Standard #10 is the specification that defines the Unicode Collation Algorithm, providing a standardized method for comparing and sorting Unicode text across languages and platforms.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69a493ec75988190b63a11bafaec29b4 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4bc2450c481909b9264e170070326 completed March 1, 2026, 10:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac59ae5f20819093f8acc3ba7a6638 completed March 7, 2026, 5 p.m.
Created at: March 1, 2026, 7:44 p.m.