Triple

T598365
Position Surface form Disambiguated ID Type / Status
Subject Kiliwa language E11436 entity
Predicate hasSociolinguisticSituation P7163 FINISHED
Object language shift to Spanish 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: language shift to Spanish | Statement: [Kiliwa language, hasSociolinguisticSituation, language shift to Spanish]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSociolinguisticSituation
Context triple: [Kiliwa language, hasSociolinguisticSituation, language shift to Spanish]
  • A. sociolinguisticStatus chosen
    Indicates the social and cultural standing or prestige associated with a language variety or linguistic feature within a particular community or context.
  • B. hasLinguisticFeature
    Indicates that an entity possesses a particular linguistic property, trait, or characteristic.
  • C. hasLinguisticCode
    Indicates that an entity is associated with a specific linguistic identifier or code (such as a language or script code) that characterizes its linguistic properties.
  • D. hasLanguageCommunity
    Indicates that an entity is associated with or serves a particular language community.
  • E. hasSignificantLanguage
    Indicates that an entity possesses a language that plays an important or primary role in its communication, identity, or functioning.
  • 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_69a4932779b881908688590d59c71900 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49dc4f7d08190990f70b9b3af6ce5 completed March 1, 2026, 8:12 p.m.
PD Predicate disambiguation batch_69a49cf59cd0819084e67981cb371e25 completed March 1, 2026, 8:09 p.m.
Created at: March 1, 2026, 7:35 p.m.