Triple

T7286278
Position Surface form Disambiguated ID Type / Status
Subject Nbat E163876 entity
Predicate standard P1587 FINISHED
Object ISO 15924 E174382 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: ISO 15924 | Statement: [Nbat, standard, ISO 15924]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ISO 15924
Context triple: [Nbat, standard, ISO 15924]
  • A. ISO 15924 chosen
    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.
  • B. ISO/IEC 10646
    ISO/IEC 10646 is an international standard that defines the Universal Coded Character Set (UCS), a comprehensive repertoire of characters used worldwide and closely aligned with the Unicode Standard.
  • C. ISO 639
    ISO 639 is an international standard that defines codes for the representation of names of languages.
  • D. ISO/IEC 8859
    ISO/IEC 8859 is a family of 8-bit character encoding standards that define various single-byte coded character sets for different languages and scripts, widely used before the adoption of Unicode.
  • E. ISO 646
    ISO 646 is an international standard for 7-bit character encodings that defines a set of basic Latin characters and allows national variants, serving as a foundation for many early computer character sets.
  • 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_69c6886093b88190a254b1ce6db8bae7 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6eb532adc8190bcbbf31bb54383fb completed March 27, 2026, 8:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7e5368794819084e50bc87d8264de completed March 28, 2026, 2:27 p.m.
Created at: March 27, 2026, 2:59 p.m.