Triple

T14377988
Position Surface form Disambiguated ID Type / Status
Subject Sámi languages E356523 entity
Predicate hasMemberLanguage P7390 FINISHED
Object Pite Sámi E81462 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: Pite Sámi | Statement: [Sámi languages, hasMemberLanguage, Pite Sámi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pite Sámi
Context triple: [Sámi languages, hasMemberLanguage, Pite Sámi]
  • A. Pite Sámi chosen
    Pite Sámi is an endangered Uralic language traditionally spoken by the Sámi people in the Arjeplog area of northern Sweden.
  • B. Lule Sámi
    Lule Sámi is a Uralic, Indigenous Sámi language spoken primarily in northern Sweden and Norway.
  • C. Northern Ume Sami
    Northern Ume Sami is a regional variety of the Ume Sami language traditionally spoken by Sámi communities in parts of northern Sweden.
  • D. Kildin Sámi
    Kildin Sámi is a Uralic language spoken by the Sámi people primarily on Russia’s Kola Peninsula.
  • E. Sámi
    The Sámi are an Indigenous Finno-Ugric people of northern Europe, traditionally known for reindeer herding, fishing, and a distinct cultural and linguistic heritage across parts of Norway, Sweden, Finland, and Russia.
  • 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_69d8279163a081908aec45c0e3f1e02f completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de900a67e08190ab1dcf36e6bb3405 completed April 14, 2026, 7:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd6d7ed3ec8190b97128733419845b completed May 8, 2026, 4:58 a.m.
Created at: April 10, 2026, 1:16 a.m.