Triple

T10920931
Position Surface form Disambiguated ID Type / Status
Subject Tai Viet script E257942 entity
Predicate UnicodeVersionIntroduced P23128 FINISHED
Object Unicode 5.2 E482078 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 5.2 | Statement: [Tai Viet script, UnicodeVersionIntroduced, Unicode 5.2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Unicode 5.2
Context triple: [Tai Viet script, UnicodeVersionIntroduced, Unicode 5.2]
  • A. Unicode 5.2 chosen
    Unicode 5.2 is a version of the Unicode Standard that significantly expanded character coverage, including historic and minority scripts such as Samaritan.
  • B. 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.
  • 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 3.2
    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 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.
  • 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_69d6aa864ed88190818280ab6791d065 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d77082a1488190850a4409339c3e1e completed April 9, 2026, 9:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69e2171adbbc8190916a5463b6e5c186 completed April 17, 2026, 11:18 a.m.
Created at: April 8, 2026, 9:22 p.m.