Triple

T5152381
Position Surface form Disambiguated ID Type / Status
Subject Norsjø E116225 entity
Predicate drainageBasin P1559 FINISHED
Object Skien watershed E422289 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: Skien watershed | Statement: [Norsjø, drainageBasin, Skien watershed]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Skien watershed
Context triple: [Norsjø, drainageBasin, Skien watershed]
  • A. Arve River
    The Arve River is a glacial river in the Alps that flows through France and Switzerland, notably passing through Geneva before joining the Rhône.
  • B. Sognsvann
    Sognsvann is a popular recreational lake and surrounding forested area in northern Oslo, Norway, known for hiking, swimming, and outdoor activities.
  • C. Upper Telemark chosen
    Upper Telemark is a traditional inland district of Telemark in southeastern Norway, known for its rich folk culture, distinctive dialects, and well-preserved rural landscapes.
  • D. Krokstadelva
    Krokstadelva is a town in Viken county, Norway, situated along the Drammenselva river and known historically for its industrial and residential character.
  • E. Vuoksi river basin
    The Vuoksi river basin is a major watershed in southeastern Finland and northwestern Russia that drains numerous lakes and rivers, ultimately flowing into Lake Ladoga.
  • 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_69bd445d94788190b72e2cc563120995 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd78daab708190a42734a14dddb2fc completed March 20, 2026, 4:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69bed9235de88190b3698a90af91c33d completed March 21, 2026, 5:45 p.m.
Created at: March 20, 2026, 1:44 p.m.