Triple

T5065560
Position Surface form Disambiguated ID Type / Status
Subject Tyrifjorden E114134 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: [Tyrifjorden, inflow, Begna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Begna
Context triple: [Tyrifjorden, 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_69bd443c0c8c81908663b77afb28e165 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd7478f7988190bc0473e8af055147 completed March 20, 2026, 4:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69beb10778208190a5c6a9457c085491 completed March 21, 2026, 2:53 p.m.
Created at: March 20, 2026, 1:38 p.m.