Triple

T16182254
Position Surface form Disambiguated ID Type / Status
Subject Målselva E392712 entity
Predicate mainSourceRegion P410 FINISHED
Object Dividalen E676285 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: Dividalen | Statement: [Målselva, mainSourceRegion, Dividalen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dividalen
Context triple: [Målselva, mainSourceRegion, Dividalen]
  • A. Deltebre
    Deltebre is a Catalan town located in the Ebro Delta, known for its rice fields, wetlands, and rich riverine landscape.
  • B. Dirdal chosen
    Dirdal is a small village in southwestern Norway, situated in a scenic valley within Gjesdal municipality in Rogaland county.
  • C. Jättendal
    Jättendal is a small locality in northern Sweden, situated within Nordanstig Municipality in Gävleborg County.
  • D. Ittigen
    Ittigen is a municipality in the canton of Bern in Switzerland that functions largely as a suburban community within the greater Bern urban region.
  • E. Derendingen
    Derendingen is a municipality in the canton of Solothurn in northwestern Switzerland, known as a residential and industrial community near the city of Solothurn.
  • 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_69d87f1e49ac8190a311b54d32990576 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e2205d858c8190802d44e08e3cdcd6 completed April 17, 2026, 11:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffff03400481908e66db8cf0213c15 completed May 10, 2026, 3:44 a.m.
Created at: April 10, 2026, 5:02 a.m.