Triple

T5882246
Position Surface form Disambiguated ID Type / Status
Subject tatar tele E130774 entity
Predicate hasDialects P4251 FINISHED
Object Mishar Tatar E130771 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: Mishar Tatar | Statement: [tatar tele, hasDialects, Mishar Tatar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mishar Tatar
Context triple: [tatar tele, hasDialects, Mishar Tatar]
  • A. Mishar Tatar chosen
    Mishar Tatar is a major dialect of the Tatar language spoken primarily by the Mishar Tatars in parts of Russia and neighboring regions.
  • B. Maychew
    Maychew is a town in northern Ethiopia known as a local commercial and administrative center within the Tigray highlands.
  • C. Taras
    Taras is the ancient Greek city in southern Italy that later became known by its Roman name Tarentum.
  • D. Mykola
    Mykola is the Ukrainian form of the given name Nicholas, commonly used in Ukraine and among Ukrainian communities.
  • E. Arapov
    Arapov is a Slavic masculine surname commonly found in Russian-speaking countries.
  • 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_69c0085523688190bfd487479ce819e6 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c03673ecd88190978993056b675259 completed March 22, 2026, 6:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0b13330c88190b10f33843f10f51f completed March 23, 2026, 3:19 a.m.
Created at: March 22, 2026, 3:57 p.m.