Triple

T14533281
Position Surface form Disambiguated ID Type / Status
Subject Smoky Mountain River Rampage E340967 entity
Predicate languageOfSafetyAnnouncements P6898 FINISHED
Object 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: English | Statement: [Smoky Mountain River Rampage, languageOfSafetyAnnouncements, English]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: languageOfSafetyAnnouncements
Context triple: [Smoky Mountain River Rampage, languageOfSafetyAnnouncements, English]
  • A. languageOfOfficialAnnouncements chosen
    Indicates the language used for formal or official public announcements issued by an authority.
  • B. officialLanguageOfSignage
    Indicates that a particular language is the one officially used on public signs and signage within a given place or context.
  • C. languageOfCommunications
    Indicates that a specified language is used as the medium for communications associated with an entity or interaction.
  • D. standardLanguageOf
    Indicates that one entity serves as the officially recognized or commonly used standard language for another entity (such as a country, region, or organization).
  • E. eligibleLanguage
    Indicates that a particular language satisfies the required conditions to be considered valid or allowed in a given context.
  • 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_69d822dac79c8190a84a073f3cbaced5 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dea053f9bc8190901b9d321811d881 completed April 14, 2026, 8:15 p.m.
PD Predicate disambiguation batch_69de5c546c7081909e27d504ec360c5c completed April 14, 2026, 3:25 p.m.
Created at: April 10, 2026, 1:22 a.m.