Triple

T2997965
Position Surface form Disambiguated ID Type / Status
Subject Göklen dialect E81115 entity
Predicate sociolinguisticContext P27440 FINISHED
Object bilingualism in Turkmen and Persian 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: bilingualism in Turkmen and Persian | Statement: [Göklen dialect, sociolinguisticContext, bilingualism in Turkmen and Persian]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: sociolinguisticContext
Context triple: [Göklen dialect, sociolinguisticContext, bilingualism in Turkmen and Persian]
  • A. sociolinguisticSituation chosen
    Indicates the social and cultural context in which language is used, including factors like participants, setting, norms, and power relations that shape linguistic behavior.
  • B. sociolinguisticStatus
    Indicates the social and cultural standing or prestige associated with a language variety or linguistic feature within a particular community or context.
  • C. linguisticUsage
    Indicates how a linguistic form, expression, or construction is used in language, such as its typical context, function, or register.
  • D. linguisticIdentity
    Indicates that two or more entities share, express, or are characterized by the same language or linguistic affiliation.
  • E. languageFamilyContext
    Indicates the broader linguistic family or grouping within which a particular language or linguistic element is situated.
  • 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_69ad8b187fc8819085914d3c9ea3142d completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad99f766408190a5591efce8346bb9 completed March 8, 2026, 3:47 p.m.
PD Predicate disambiguation batch_69ad9615fefc8190ad96da92519cb7a3 completed March 8, 2026, 3:30 p.m.
Created at: March 8, 2026, 2:59 p.m.