Triple

T18563795
Position Surface form Disambiguated ID Type / Status
Subject Osmanya block E453710 entity
Predicate assignedInVersion P5706 FINISHED
Object Unicode 4.0 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 4.0 | Statement: [Osmanya block, assignedInVersion, Unicode 4.0]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Unicode 4.0
Context triple: [Osmanya block, assignedInVersion, Unicode 4.0]
  • A. Unicode 4.0 chosen
    Unicode 4.0 is a major version of the Unicode Standard that expanded character coverage and refined encoding rules for consistent text representation across different languages and platforms.
  • B. Unicode 4.1
    Unicode 4.1 is a version of the Unicode Standard released in 2005 that expanded character coverage and refined existing scripts, including support for additional writing systems and symbols.
  • C. Unicode 5.0
    Unicode 5.0 is a major version of the Unicode Standard that expanded character coverage and refined text processing rules for global writing systems.
  • D. 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.
  • E. 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.
  • 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.