Triple

T21654218
Position Surface form Disambiguated ID Type / Status
Subject ICU E534414 entity
Predicate hasComponent P35 FINISHED
Object ICU4C 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: ICU4C | Statement: [ICU, hasComponent, ICU4C]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ICU4C
Context triple: [ICU, hasComponent, ICU4C]
  • A. Unicode ICU chosen
    Unicode ICU (International Components for Unicode) is a widely used open-source library that provides robust, cross-platform support for Unicode text handling, internationalization, and localization in software applications.
  • B. Unicode CLDR
    Unicode CLDR is a standardized, collaboratively maintained repository of locale data that underpins internationalization and localization features in software and digital platforms worldwide.
  • C. Everglot
    Everglot is the aristocratic family surname of Victoria in Tim Burton’s animated film "Corpse Bride."
  • D. Cimbro
    Cimbro is a small frazione (hamlet) of the municipality of Vergiate in the Lombardy region of northern Italy.
  • E. UAX #15
    UAX #15 is the Unicode Standard Annex that defines Unicode Normalization Forms and related algorithms for consistent text representation and comparison.
  • 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_69e0c466aec88190ba39c7543dbc8ba2 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef59176b28819092384fc5f8968022 completed April 27, 2026, 12:39 p.m.
Created at: April 16, 2026, 6:36 p.m.