Triple

T32291461
Position Surface form Disambiguated ID Type / Status
Subject Dom E824975 entity
Predicate linguisticSituation P27440 FINISHED
Object many Dom communities are bilingual or multilingual 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: many Dom communities are bilingual or multilingual | Statement: [Dom, linguisticSituation, many Dom communities are bilingual or multilingual]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: linguisticSituation
Context triple: [Dom, linguisticSituation, many Dom communities are bilingual or multilingual]
  • 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. linguisticScope
    Indicates the range or domain within language (such as a phrase, clause, or discourse segment) over which a particular linguistic element, feature, or operation has effect.
  • C. linguisticStrategy
    Indicates the communicative approach or method used in language to achieve a particular interactional, rhetorical, or pragmatic goal.
  • D. linguisticType
    Indicates the type or category of language or linguistic system associated with an entity (e.g., spoken, signed, written, or other linguistic modality).
  • E. languageModality
    Indicates the mode or form in which a language is expressed or perceived (e.g., spoken, signed, written, or tactile).
  • 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_69f349101b788190b4f14884dc7d1ed2 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6c1bb5f248190834161b5a6ba1ece completed May 3, 2026, 3:32 a.m.
PD Predicate disambiguation batch_69f6bd25bed08190befcabd3a41ffadf completed May 3, 2026, 3:12 a.m.
Created at: May 1, 2026, 12:44 a.m.