Triple

T16066548
Position Surface form Disambiguated ID Type / Status
Subject Omer E389746 entity
Predicate hasOrigin P26 FINISHED
Object Bosnian language E72239 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: Bosnian language | Statement: [Omer, hasOrigin, Bosnian language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bosnian language
Context triple: [Omer, hasOrigin, Bosnian language]
  • A. Bosnian chosen
    Bosnian is a South Slavic language primarily spoken in Bosnia and Herzegovina and by Bosniak communities in the Balkans and worldwide.
  • 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. Serbian language
    The Serbian language is a South Slavic language primarily spoken in Serbia and neighboring regions, using both Cyrillic and Latin scripts.
  • D. Chakavian dialect
    The Chakavian dialect is one of the main traditional dialects of the Croatian language, primarily spoken along the Adriatic coast and islands, known for its distinctive phonology and vocabulary.
  • E. Croatian
    Croatian is a South Slavic language primarily spoken in Croatia and recognized as 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 (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_69d86daf32ec8190a8c0466c8f49c3c0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1837ca628819081dfc439fe322d58 completed April 17, 2026, 12:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffe480d59c8190962ac596a872b5e0 completed May 10, 2026, 1:50 a.m.
Created at: April 10, 2026, 4:57 a.m.