Triple

T1362565
Position Surface form Disambiguated ID Type / Status
Subject Croatian E29128 entity
Predicate macrolanguageRelation P23525 FINISHED
Object often grouped with Bosnian and Serbian as BCMS LITERAL 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: often grouped with Bosnian and Serbian as BCMS | Statement: [Croatian, macrolanguageRelation, often grouped with Bosnian and Serbian as BCMS]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: macrolanguageRelation
Context triple: [Croatian, macrolanguageRelation, often grouped with Bosnian and Serbian as BCMS]
  • A. macrolanguageMemberOf chosen
    Indicates that a language variety is classified as a member of a larger macrolanguage grouping.
  • B. macrolanguageOf
    Indicates that one language functions as a macrolanguage encompassing or grouping together one or more related individual languages.
  • C. macrolanguage
    Indicates that a language is classified as a macrolanguage encompassing multiple closely related individual languages or varieties.
  • D. linguisticallyRelatedTo
    Indicates that two entities are connected through a linguistic relationship, such as sharing a common language, origin, structure, or other language-based association.
  • E. semanticRelation
    Indicates a general meaning-based connection between two entities, such as similarity, implication, or conceptual association.
  • F. None of above.

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_69a498d77abc8190913bf57e5f51d2c4 completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c2b4ab3c8190ad692e32eee05976 completed March 1, 2026, 10:50 p.m.
PD Predicate disambiguation batch_69a4bef945c08190a027472fdd695ea5 completed March 1, 2026, 10:34 p.m.
Created at: March 1, 2026, 7:57 p.m.