Triple

T32939976
Position Surface form Disambiguated ID Type / Status
Subject ASV E842639 entity
Predicate timePeriodOfLanguage P91708 FINISHED
Object late 19th-century and early 20th-century English 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: late 19th-century and early 20th-century English | Statement: [ASV, timePeriodOfLanguage, late 19th-century and early 20th-century English]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: timePeriodOfLanguage
Context triple: [ASV, timePeriodOfLanguage, late 19th-century and early 20th-century English]
  • A. vernacularLanguagePeriod
    Indicates the time span during which a particular vernacular (locally spoken) language was in use or predominant in a given context.
  • B. hasLanguagePeriod chosen
    Indicates a relationship where a language is associated with a specific historical or temporal period during which it was used or recognized.
  • C. historicalLanguage
    Indicates that one language is a historical or earlier form/ancestor of another language.
  • D. historicalLanguageStatus
    Indicates that a language had a particular official, social, or functional status during a past historical period.
  • E. historicalPeriodOfFluency
    Indicates the time period during which an entity was fluent or actively proficient in a particular language or skill.
  • 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_69f34949727c81909d195c97de3341c8 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f7817daf00819098936402e75ab0a6 completed May 3, 2026, 5:10 p.m.
PD Predicate disambiguation batch_69f780fc5ed88190b7200ee5a29940af completed May 3, 2026, 5:08 p.m.
Created at: May 1, 2026, 1:20 a.m.