Triple

T5882090
Position Surface form Disambiguated ID Type / Status
Subject Mishar Tatar E130771 entity
Predicate ISO639_3 P36930 FINISHED
Object none (covered by Tatar language code "tat") LITERAL 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: none (covered by Tatar language code "tat") | Statement: [Mishar Tatar, ISO639_3, none (covered by Tatar language code "tat")]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: ISO639_3
Context triple: [Mishar Tatar, ISO639_3, none (covered by Tatar language code "tat")]
  • A. ISO639-3CodeOfLanguage chosen
    Indicates that one entity is the ISO 639-3 three-letter language code assigned to the language represented by the other entity.
  • B. sharesISO639-3CodeWith
    Indicates that two language entities share the same ISO 639-3 code, meaning they are treated as the same language in that coding system.
  • C. ISO639CollectiveCode
    Indicates that the relationship assigns or associates an ISO 639 collective language code (a code representing a group of related languages) to the relevant language entity or set of languages.
  • D. ISO639Macrolanguage
    Indicates that a language variety is part of a broader ISO 639-defined macrolanguage grouping that encompasses multiple closely related individual languages.
  • E. ISO639Scope
    Indicates the classification of a language according to its scope, such as whether it represents an individual language, a macrolanguage, or a collection of languages.
  • F. None of above.

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_69c0085523688190bfd487479ce819e6 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c03fe07b7081909f8577ec3a9a1a8d completed March 22, 2026, 7:15 p.m.
PD Predicate disambiguation batch_69c0334bdc308190ad0d7199ab975588 completed March 22, 2026, 6:22 p.m.
Created at: March 22, 2026, 3:57 p.m.