Triple

T22185486
Position Surface form Disambiguated ID Type / Status
Subject UTS #35 E548284 entity
Predicate definesAbbreviation P12874 FINISHED
Object LDML 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: LDML | Statement: [UTS #35, definesAbbreviation, LDML]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LDML
Context triple: [UTS #35, definesAbbreviation, LDML]
  • A. Locale Data Markup Language chosen
    Locale Data Markup Language (LDML) is an XML-based standard for representing locale-specific data such as date, time, number, and language formats used in internationalization and localization.
  • 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. ISO 15924
    ISO 15924 is an international standard that assigns four-letter codes to the world’s writing systems and scripts for use in information processing and interchange.
  • D. UAX #15
    UAX #15 is the Unicode Standard Annex that defines Unicode Normalization Forms and related algorithms for consistent text representation and comparison.
  • E. Unicode Technical Standard #35
    Unicode Technical Standard #35 is a Unicode Consortium specification that defines the Locale Data Markup Language (LDML) and related mechanisms for internationalization, including formatting of dates, times, numbers, and other locale-sensitive data.
  • 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_69e11e3e0c7c8190b30d278845e2497e completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12aa823888190829368de6db4aa91 completed April 28, 2026, 9:46 p.m.
Created at: April 16, 2026, 8:35 p.m.