Triple

T18563463
Position Surface form Disambiguated ID Type / Status
Subject Unicode 1.0 E453703 entity
Predicate followedBy P78 FINISHED
Object Unicode 2.0 NE NERFINISHED

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: Unicode 2.0 | Statement: [Unicode 1.0, followedBy, Unicode 2.0]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Unicode 2.0
Context triple: [Unicode 1.0, followedBy, Unicode 2.0]
  • A. Unicode 2.0 chosen
    Unicode 2.0 is a major early version of the Unicode Standard that significantly expanded the character repertoire and refined the encoding model for global text representation.
  • B. Unicode 2.1
    Unicode 2.1 is an early version of the Unicode Standard that expanded and refined the universal character set used for consistent text encoding across different platforms and languages.
  • C. Unicode 1.0
    Unicode 1.0 was the first published version of the Unicode standard, establishing a unified character encoding system that laid the foundation for modern multilingual text representation in computing.
  • D. Unicode 3.2
    Unicode 3.2 is a version of the Unicode Standard that expanded character coverage and refined existing scripts, contributing to broader global text representation in computing.
  • E. Unicode 3.0
    Unicode 3.0 is a major version of the Unicode Standard that significantly expanded character coverage, particularly for additional writing systems and symbols used worldwide.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d38974308190a9174430ef256b73 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e53afc57448190abd90167d7e12a18 completed April 19, 2026, 8:28 p.m.
Created at: April 10, 2026, 11:42 a.m.