Triple

T14558567
Position Surface form Disambiguated ID Type / Status
Subject Ropp dialect E341607 entity
Predicate hasISO639-3CodeOfSuperordinateLanguage P8719 FINISHED
Object bom 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: bom | Statement: [Ropp dialect, hasISO639-3CodeOfSuperordinateLanguage, bom]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasISO639-3CodeOfSuperordinateLanguage
Context triple: [Ropp dialect, hasISO639-3CodeOfSuperordinateLanguage, bom]
  • A. hasSuperordinateLanguage
    Indicates that one language serves as a higher-level, overarching, or more general language in relation to another language.
  • B. sharesISO639-3CodeWith
    Indicates that two language entities share the same ISO 639-3 code, meaning they are treated as the same language in that coding system.
  • C. ISO639-3CodeOfLanguage
    Indicates that one entity is the ISO 639-3 three-letter language code assigned to the language represented by the other entity.
  • D. ISO639Macrolanguage
    Indicates that a language variety is part of a broader ISO 639-defined macrolanguage grouping that encompasses multiple closely related individual languages.
  • E. hasISO6393Code chosen
    Indicates that a language or linguistic entity is associated with a specific ISO 639-3 three-letter language code.
  • 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_69d822db9c8481908213ceb39585f792 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb3881b788190922932fb8ff81160 completed April 14, 2026, 9:37 p.m.
PD Predicate disambiguation batch_69de5c57489c8190b57917be1dba6ae6 completed April 14, 2026, 3:25 p.m.
Created at: April 10, 2026, 1:23 a.m.