Triple

T5047436
Position Surface form Disambiguated ID Type / Status
Subject Randsfjorden E113700 entity
Predicate inflow P415 FINISHED
Object Begna E422294 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: Begna | Statement: [Randsfjorden, inflow, Begna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Begna
Context triple: [Randsfjorden, inflow, Begna]
  • A. Begna chosen
    Begna is a river in southeastern Norway that flows through the region of Ringerike and is known for its role in local hydropower production and freshwater ecosystems.
  • B. Vésenaz
    Vésenaz is a residential village in the canton of Geneva, Switzerland, situated on the shores of Lake Geneva and forming part of the municipality of Collonge-Bellerive.
  • C. Arogno
    Arogno is a small municipality in the canton of Ticino in southern Switzerland, located near Lake Lugano and the Italian border.
  • D. Tognana
    Tognana is a frazione (hamlet) of the municipality of Piove di Sacco in the Veneto region of northern Italy.
  • E. Blevio
    Blevio is a small lakeside municipality in the Province of Como, Lombardy, Italy, situated on the eastern shore of Lake Como.
  • 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_69bd44391fc48190a311ce9c826c209b completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd740002b48190bc7aa176d734c589 completed March 20, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69bea47e5ba0819088217a9ad3ce2b0a completed March 21, 2026, 2 p.m.
Created at: March 20, 2026, 1:37 p.m.