Triple

T318415
Position Surface form Disambiguated ID Type / Status
Subject Barbara E7758 entity
Predicate isUsedInLanguage P907 FINISHED
Object Croatian E29128 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: Croatian | Statement: [Barbara, isUsedInLanguage, Croatian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Croatian
Context triple: [Barbara, isUsedInLanguage, Croatian]
  • A. Croatian chosen
    Croatian is a South Slavic language primarily spoken in Croatia and recognized as one of the official languages of the European Union.
  • B. Croats
    Croats are a South Slavic ethnic group primarily associated with Croatia and the broader Balkan region, known for their distinct language, culture, and historical heritage.
  • C. Slovene
    Slovene is a South Slavic language spoken primarily in Slovenia and recognized as one of the official languages of the European Union.
  • D. 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.
  • E. Croatia
    Croatia is a southeastern European country on the Adriatic Sea, known for its historic coastal cities, thousands of islands, and status as a member of both the European Union and NATO.
  • 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_69a2e7e7af7881908890039d6be4e9b8 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ea67b7588190be394a56498758b6 completed Feb. 28, 2026, 1:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3c8ba3304819099db7b60f2c83c8b completed March 1, 2026, 5:03 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.