Triple

T5882283
Position Surface form Disambiguated ID Type / Status
Subject Unicode 5.1 E130775 entity
Predicate followedBy P78 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: [Unicode 5.1, followedBy, Unicode 5.2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Unicode 5.2
Context triple: [Unicode 5.1, followedBy, 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 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.
  • E. Unicode 6.1
    Unicode 6.1 is a version of the Unicode Standard that expanded character support, including the addition of several new scripts and symbols.
  • 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_69c0085523688190bfd487479ce819e6 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c03673ecd88190978993056b675259 completed March 22, 2026, 6:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0e37f8e348190a992609b71ce0f80 completed March 23, 2026, 6:53 a.m.
Created at: March 22, 2026, 3:57 p.m.