Triple

T17391187
Position Surface form Disambiguated ID Type / Status
Subject Montenegrin Latin alphabet E422825 entity
Predicate ISO15924Code P208 FINISHED
Object Latn 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: Latn | Statement: [Montenegrin Latin alphabet, ISO15924Code, Latn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Latn
Context triple: [Montenegrin Latin alphabet, ISO15924Code, Latn]
  • A. Latn chosen
    Latn is the ISO 15924 script code representing the Latin alphabet used for writing numerous modern languages worldwide.
  • B. Latuvi
    Latuvi is a small rural village in the Sierra Norte region of Oaxaca, Mexico, known for its mountainous landscapes and traditional indigenous culture.
  • C. Latynina
    Latynina is a Russian surname most famously associated with Larisa Latynina, one of the most decorated gymnasts in Olympic history.
  • D. Latgalian
    Latgalian is an Eastern Baltic language variety closely related to Latvian, traditionally spoken by the Latgalian ethnic group in the Latgale region of eastern Latvia.
  • E. Latvian
    Latvian is a Baltic language spoken primarily in Latvia and one of the official languages of the European Union.
  • 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_69d889d710288190bf0f4762801fefae completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43aba5398819096846bdeefde0788 completed April 19, 2026, 2:15 a.m.
Created at: April 10, 2026, 5:45 a.m.