Triple

T17339152
Position Surface form Disambiguated ID Type / Status
Subject Telemark county (re-established) E421018 entity
Predicate contains P35 FINISHED
Object Siljan NE ONNED1

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 | Statement: [Telemark county (re-established), contains, Siljan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Siljan
Context triple: [Telemark county (re-established), contains, Siljan]
  • A. Siljan chosen
    Siljan is a lake in Telemark, Norway, known for its scenic surroundings and proximity to the town of Skien.
  • B. Siljan Ring
    Siljan Ring is a large ancient meteorite impact crater and lake system in central Sweden, known for its distinctive circular landscape and geological significance.
  • C. Arvidsjaur
    Arvidsjaur is a small town in northern Sweden known for its military presence, winter testing facilities, and proximity to Arctic wilderness.
  • D. Flemingsberg
    Flemingsberg is a district in the southern Stockholm urban area known for its major university campus, hospital, and commuter rail hub.
  • E. Vadstena
    Vadstena is a historic Swedish town known for its medieval castle, monastery, and well-preserved old town on the shores of Lake Vättern.
  • 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_69d889d3adc881909319f1edb8d2a956 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a14ec90819098db2ac0d58a53e1 completed April 19, 2026, 2:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a019552a0208190bd8bd0f9588911c3 in_progress May 11, 2026, 8:37 a.m.
Created at: April 10, 2026, 5:44 a.m.