Triple

T18326941
Position Surface form Disambiguated ID Type / Status
Subject Åsta E439034 entity
Predicate hasNameInLanguage P15 FINISHED
Object Åsta@nn NE NERFINISHED

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: Åsta@nn | Statement: [Åsta, hasNameInLanguage, Åsta@nn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Åsta@nn
Context triple: [Åsta, hasNameInLanguage, Åsta@nn]
  • A. Åsta chosen
    Åsta is a river in southeastern Norway that serves as a notable tributary to the country’s longest river, the Glomma.
  • B. Astatke
    Astatke is the surname of Mulatu Astatke, the pioneering Ethiopian musician and composer widely regarded as the father of Ethio-jazz.
  • C. Åshammar
    Åshammar is a small locality in central Sweden situated within Gävleborg County.
  • D. Åsele
    Åsele is a small locality and municipality in northern Sweden known for its forests, lakes, and traditional rural character.
  • E. Årsta
    Årsta is a residential district in southern Stockholm, Sweden, known for its mid-20th-century architecture and proximity to both the city center and green recreational areas.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b916a2d081909e249e4902f6aad9 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e50aab3e7c81909b1c0a688707dfd6 completed April 19, 2026, 5:02 p.m.
Created at: April 10, 2026, 10:36 a.m.