Triple

T6668519
Position Surface form Disambiguated ID Type / Status
Subject Unicode 4.1 E151664 entity
Predicate hasAbbreviation P43 FINISHED
Object Unicode 4.1.0 E151664 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 4.1.0 | Statement: [Unicode 4.1, hasAbbreviation, Unicode 4.1.0]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Unicode 4.1.0
Context triple: [Unicode 4.1, hasAbbreviation, Unicode 4.1.0]
  • A. Unicode 4.1 chosen
    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.
  • B. Unicode 4.0
    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.
  • C. 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.
  • 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 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 (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_69c687f71fc081909dbd45d6377f6045 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6b0c4a8e48190aa3b2e41902d2f86 completed March 27, 2026, 4:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69c70aeef0d881909da055735646dbaf completed March 27, 2026, 10:55 p.m.
Created at: March 27, 2026, 2:02 p.m.