Triple

T13303947
Position Surface form Disambiguated ID Type / Status
Subject Buje E316884 entity
Predicate language P15 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: [Buje, language, Croatian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Croatian
Context triple: [Buje, language, 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. Serbo-Croatian
    Serbo-Croatian is a South Slavic language historically spoken across the former Yugoslavia, encompassing the standardized varieties now known as Serbian, Croatian, Bosnian, and Montenegrin.
  • C. Bosnian
    Bosnian is a South Slavic language primarily spoken in Bosnia and Herzegovina and by Bosniak communities in the Balkans and worldwide.
  • D. 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.
  • E. Kajkavian dialect
    The Kajkavian dialect is a South Slavic variety traditionally spoken in northwestern Croatia, distinguished by its unique phonological and lexical features within the Croatian language.
  • 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_69d806b40ab4819094adf6c374f4811a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d990a76adc8190ab9abcdb79a21ca8 completed April 11, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69f73977c2a88190846b579cc324f8b3 completed May 3, 2026, 12:03 p.m.
Created at: April 9, 2026, 9:28 p.m.