Triple

T3079878
Position Surface form Disambiguated ID Type / Status
Subject Sergei E64229 entity
Predicate usedInLanguage P907 FINISHED
Object Serbo-Croatian E219480 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: Serbo-Croatian | Statement: [Sergei, usedInLanguage, Serbo-Croatian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Serbo-Croatian
Context triple: [Sergei, usedInLanguage, Serbo-Croatian]
  • A. Serbo-Croatian chosen
    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.
  • B. Serbian language
    The Serbian language is a South Slavic language primarily spoken in Serbia and neighboring regions, using both Cyrillic and Latin scripts.
  • C. Bosnian
    Bosnian is a South Slavic language primarily spoken in Bosnia and Herzegovina and by Bosniak communities in the Balkans and worldwide.
  • D. Croatian
    Croatian is a South Slavic language primarily spoken in Croatia and recognized as one of the official languages of the European Union.
  • E. Montenegrin
    Montenegrin is a South Slavic language spoken primarily in Montenegro and recognized as one of the standard varieties of the Serbo-Croatian language continuum.
  • 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_69ad857bb4c88190a4cf27893fcabed8 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada1a9d61081909953eb2f4ad4537e completed March 8, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1f890a21c8190bcb78fe5c9ec6e75 completed March 11, 2026, 11:19 p.m.
Created at: March 8, 2026, 3:03 p.m.