Triple

T8416630
Position Surface form Disambiguated ID Type / Status
Subject Newspeak E198743 entity
Predicate linguisticStrategy P82066 FINISHED
Object narrowing of semantic range 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: narrowing of semantic range | Statement: [Newspeak, linguisticStrategy, narrowing of semantic range]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: linguisticStrategy
Context triple: [Newspeak, linguisticStrategy, narrowing of semantic range]
  • A. linguisticFeature
    Indicates a relationship where a linguistic property, pattern, or characteristic is attributed to or associated with a language-related entity (such as a word, phrase, or text).
  • B. linguisticUsage
    Indicates how a linguistic form, expression, or construction is used in language, such as its typical context, function, or register.
  • C. linguisticType
    Indicates the type or category of language or linguistic system associated with an entity (e.g., spoken, signed, written, or other linguistic modality).
  • D. linguisticSignificance
    Indicates the degree to which something is important, influential, or meaningful within a particular language or linguistic system.
  • E. linguisticRegister
    Indicates the level of formality or stylistic variety in which a linguistic expression is typically used within a given context.
  • F. None of above. chosen

Provenance (4 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_69ca831201b481909e137936ef99ff11 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cb84c5121081908efa3eca25406d3a completed March 31, 2026, 8:24 a.m.
PD Predicate disambiguation batch_69cb70d70ea081909c3dc1bd2ec14f85 completed March 31, 2026, 6:59 a.m.
PDg Predicate description generation batch_69cb77690720819099de1e22b84a9563 completed March 31, 2026, 7:27 a.m.
Created at: March 30, 2026, 6:06 p.m.