Triple

T2894977
Position Surface form Disambiguated ID Type / Status
Subject South Slavs E63914 entity
Predicate majorLanguageGroup P26068 FINISHED
Object Slovene E28855 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: Slovene | Statement: [South Slavs, majorLanguageGroup, Slovene]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Slovene
Context triple: [South Slavs, majorLanguageGroup, Slovene]
  • A. Slovene chosen
    Slovene is a South Slavic language spoken primarily in Slovenia and recognized as one of the official languages of the European Union.
  • B. Croatian
    Croatian is a South Slavic language primarily spoken in Croatia and recognized as one of the official languages of the European Union.
  • C. Central Slovene dialects
    The Central Slovene dialects are a group of Slovene dialects spoken around the capital Ljubljana that form the basis for the standard Slovene language.
  • D. Southeastern Slovenia
    Southeastern Slovenia is a statistical and historical region of Slovenia known for its rolling hills, vineyards, and the regional center Novo Mesto.
  • E. Triestine Venetian dialect
    The Triestine Venetian dialect is a regional variety of the Venetian language spoken in and around Trieste, characterized by a blend of Venetian, Slovene, German, and local linguistic influences.
  • 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_69ab4c45822c8190830c5f2bb97bcfd0 completed March 6, 2026, 9:51 p.m.
NER Named-entity recognition batch_69abe08c85c48190bd8c0f6680fca0c8 completed March 7, 2026, 8:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69b055fe13448190bf25832219fd5f0c completed March 10, 2026, 5:33 p.m.
Created at: March 6, 2026, 10:07 p.m.