Triple

T17744831
Position Surface form Disambiguated ID Type / Status
Subject Leksand Municipality E442960 entity
Predicate containsSettlement P847 FINISHED
Object Tällberg 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: Tällberg | Statement: [Leksand Municipality, containsSettlement, Tällberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tällberg
Context triple: [Leksand Municipality, containsSettlement, Tällberg]
  • A. Tällberg chosen
    Tällberg is a traditional Swedish village in the Dalarna region, known for its well-preserved wooden houses, scenic views, and tourism by Lake Siljan.
  • B. Wästberg
    Wästberg is a Swedish surname associated with notable figures in politics, literature, and public life.
  • C. Östberg
    Östberg is a Swedish surname most notably borne by architect Ragnar Östberg, designer of the Stockholm City Hall.
  • D. Norlén
    Norlén is a Swedish surname most notably borne by politician Andreas Norlén, the Speaker of the Riksdag.
  • E. Näslund
    Näslund is a Swedish surname most prominently associated with former NHL star Markus Näslund.
  • 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e47ad0c5b481909059bfa868cc4001 completed April 19, 2026, 6:48 a.m.
Created at: April 10, 2026, 10:09 a.m.