Triple

T14377378
Position Surface form Disambiguated ID Type / Status
Subject Lake Siljan E356508 entity
Predicate partOf P40 FINISHED
Object Siljan lake system E356508 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: Siljan lake system | Statement: [Lake Siljan, partOf, Siljan lake system]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Siljan lake system
Context triple: [Lake Siljan, partOf, Siljan lake system]
  • A. Siljan
    Siljan is a lake in Telemark, Norway, known for its scenic surroundings and proximity to the town of Skien.
  • B. Lake Siljan chosen
    Lake Siljan is a large, crescent-shaped lake in central Sweden, renowned for its scenic landscapes and origin in an ancient meteorite impact crater.
  • C. Solina Lake
    Solina Lake is a large artificial reservoir in southeastern Poland, renowned for its scenic mountain setting, hydroelectric dam, and popularity as a tourist and water-sports destination.
  • D. Stockholm County lake system
    The Stockholm County lake system is a network of interconnected lakes in and around Sweden’s capital region, important for local ecology, recreation, and water management.
  • E. Brunnsviken Lake
    Brunnsviken Lake is a scenic urban lake in northern Stockholm, Sweden, known for its surrounding parks, recreational areas, and cultural landmarks.
  • 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_69de900949fc81909be0da1734c46645 completed April 14, 2026, 7:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd4c5728fc819089ef3c7c34b10101 completed May 8, 2026, 2:37 a.m.
Created at: April 10, 2026, 1:16 a.m.