Triple

T14734202
Position Surface form Disambiguated ID Type / Status
Subject Norrbotten County E346158 entity
Predicate languageUsed P238 FINISHED
Object Sami languages E73468 NE 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: Sami languages | Statement: [Norrbotten County, languageUsed, Sami languages]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sami languages
Context triple: [Norrbotten County, languageUsed, Sami languages]
  • A. Sami languages chosen
    Sami languages are a group of Uralic Indigenous languages spoken by the Sámi people across northern parts of Norway, Sweden, Finland, and Russia.
  • B. Boran languages
    The Boran languages are a small group of closely related indigenous languages spoken primarily in the northwestern Amazon region of South America.
  • C. Samoyedic languages
    Samoyedic languages are a branch of the Uralic language family spoken by indigenous Samoyedic peoples in northern Siberia and adjacent Arctic regions.
  • D. Sámi languages
    The Sámi languages are a group of Uralic Indigenous languages spoken by the Sámi people across northern parts of Norway, Sweden, Finland, and Russia.
  • E. Sara–Bagirmi languages
    The Sara–Bagirmi languages are a group of closely related Central Sudanic languages spoken primarily in Chad and neighboring regions of Central Africa.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d822e6f1c88190bc494d491a907114 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec72ea9348190817efcdaa973d7f7 completed April 14, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdfb8bcc188190901e3f692fd8fbf9 completed May 8, 2026, 3:04 p.m.
Created at: April 10, 2026, 1:29 a.m.