Triple

T884996
Position Surface form Disambiguated ID Type / Status
Subject Croatia E19110 entity
Predicate officialLanguage P236 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: [Croatia, officialLanguage, Croatian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Croatian
Context triple: [Croatia, officialLanguage, 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. Bosnian
    Bosnian is a South Slavic language primarily spoken in Bosnia and Herzegovina and by Bosniak communities in the Balkans and worldwide.
  • C. 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.
  • D. Slovene
    Slovene is a South Slavic language spoken primarily in Slovenia and recognized as one of the official languages of the European Union.
  • E. Serbian language
    The Serbian language is a South Slavic language primarily spoken in Serbia and neighboring regions, using both Cyrillic and Latin scripts.
  • 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_69a4939c32488190a7ccd41cf0abb22b completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ace5e15c81908cc2e648c9cd52f2 completed March 1, 2026, 9:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7b85a37648190b20b12c544a85bda completed March 4, 2026, 4:43 a.m.
Created at: March 1, 2026, 7:39 p.m.