Triple

T17744899
Position Surface form Disambiguated ID Type / Status
Subject Siljan Ring E442961 entity
Predicate region P40 FINISHED
Object Siljan region 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: Siljan region | Statement: [Siljan Ring, region, Siljan region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Siljan region
Context triple: [Siljan Ring, region, Siljan region]
  • A. Siljan region chosen
    The Siljan region is a culturally rich area in central Sweden known for its traditional Dalarna heritage, picturesque lakeside landscapes, and well-preserved folk customs.
  • B. Illertissen region
    The Illertissen region is an area in southern Germany known for its location along the Iller River and its mix of small towns, agricultural landscapes, and local industry.
  • C. Lule Sami area
    The Lule Sami area is a traditional homeland of the Lule Sami people, characterized by their distinct Uralic language, reindeer herding culture, and historical presence in parts of northern Norway and Sweden.
  • D. Siljan
    Siljan is a lake in Telemark, Norway, known for its scenic surroundings and proximity to the town of Skien.
  • E. Siljan
    Siljan is a small rural municipality in Telemark county, Norway, known for its forests, lakes, and outdoor recreation opportunities.
  • 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.