Triple

T1700504
Position Surface form Disambiguated ID Type / Status
Subject Najdi Arabic E36756 entity
Predicate languageCodeStandard P22958 FINISHED
Object ISO 639-3 E18761 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 639-3 | Statement: [Najdi Arabic, languageCodeStandard, ISO 639-3]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ISO 639-3
Context triple: [Najdi Arabic, languageCodeStandard, ISO 639-3]
  • A. ISO 639 chosen
    ISO 639 is an international standard that defines codes for the representation of names of languages.
  • B. ISO 3166-3
    ISO 3166-3 is the part of the ISO 3166 standard that defines codes for countries and territories that have been removed from the current ISO 3166-1 list, providing their former country codes and their replacements.
  • 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. ISO 3166-1
    ISO 3166-1 is an international standard published by ISO that defines globally recognized country codes in alpha-2, alpha-3, and numeric formats.
  • E. ISO 3166
    ISO 3166 is an international standard published by the International Organization for Standardization that defines globally recognized codes for the names of countries, dependent territories, and their principal subdivisions.
  • 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_69a886163dec8190859c514232a37a05 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa62d501188190b2e6ebf4d84471da completed March 6, 2026, 5:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad799f98e48190b9eaf6f5151f4c80 completed March 8, 2026, 1:29 p.m.
Created at: March 4, 2026, 7:30 p.m.