Triple

T5087726
Position Surface form Disambiguated ID Type / Status
Subject Gribbylund E114676 entity
Predicate hasLanguage P15 FINISHED
Object Swedish E16630 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: Swedish | Statement: [Gribbylund, hasLanguage, Swedish]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Swedish
Context triple: [Gribbylund, hasLanguage, Swedish]
  • A. Swedish
    Swedish refers to the people, language, and culture originating from Sweden, a Nordic country in Northern Europe.
  • B. Swedish language chosen
    Swedish is a North Germanic language spoken primarily in Sweden and parts of Finland, known for its close relation to Norwegian and Danish and its role as one of the official languages of the Nordic region.
  • C. Finland Swedish
    Finland Swedish is the variety of the Swedish language traditionally spoken by the Swedish-speaking minority in Finland, characterized by distinct pronunciation, vocabulary, and some grammatical features.
  • D. Gotlandic Swedish
    Gotlandic Swedish is a regional variety of Swedish spoken on the island of Gotland, characterized by distinctive phonology and vocabulary influenced by the older Gutnish language.
  • E. Swedish Wikinews
    Swedish Wikinews is the Swedish-language edition of the Wikinews collaborative, free-content news project.
  • 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_69bd443e941881908eb4e8c685b6f656 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd75219a94819094fc54c1df448470 completed March 20, 2026, 4:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69beb144a6108190a20bb6d9dc6bf676 completed March 21, 2026, 2:55 p.m.
Created at: March 20, 2026, 1:40 p.m.