Triple

T3383757
Position Surface form Disambiguated ID Type / Status
Subject Unicode 15.0 E71247 entity
Predicate follows P134 FINISHED
Object Unicode 14.0 E71247 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: Unicode 14.0 | Statement: [Unicode 15.0, follows, Unicode 14.0]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Unicode 14.0
Context triple: [Unicode 15.0, follows, Unicode 14.0]
  • A. Unicode 15.0 chosen
    Unicode 15.0 is a version of the Unicode Standard that expanded the global character set with additional scripts, symbols, and emoji to improve digital text representation across diverse languages.
  • B. Unicode 7.0
    Unicode 7.0 is a version of the Unicode Standard that significantly expanded character coverage by adding numerous new scripts, symbols, and emoji to support a wider range of global languages and digital communication needs.
  • C. 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.
  • D. Unicode 5.1
    Unicode 5.1 is a version of the Unicode Standard that expanded character coverage and refined existing scripts, including additional support for Cyrillic and other writing systems.
  • 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_69ad85a8fd9c819095ecedf838d2bf1b completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb5ec85d08190b28110157c39435f completed March 8, 2026, 5:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b33452d79081909bf6955289e0dece completed March 12, 2026, 9:46 p.m.
Created at: March 8, 2026, 3:14 p.m.