Triple

T5426272
Position Surface form Disambiguated ID Type / Status
Subject Alna district E121368 entity
Predicate hasWatercourse P165 FINISHED
Object Alna River E659015 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: Alna River | Statement: [Alna district, hasWatercourse, Alna River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alna River
Context triple: [Alna district, hasWatercourse, Alna River]
  • A. Alna River chosen
    The Alna River is a watercourse in Oslo, Norway, that flows through the Alna district and several other urban and natural areas before reaching the Oslofjord.
  • B. Aven River
    The Aven River is a picturesque waterway in Brittany, France, renowned for inspiring artists and flowing through the historic town of Pont-Aven before reaching the Atlantic Ocean.
  • C. Tuul River
    The Tuul River is a major river in central Mongolia that flows through the capital city, Ulaanbaatar, and plays an important role in the region’s ecology and water supply.
  • D. Seim River
    The Seim River is a major tributary of the Desna River in Eastern Europe, flowing through parts of Russia and northern Ukraine.
  • E. Porsuk River
    The Porsuk River is a significant waterway in western Turkey that flows through the city of Eskişehir before joining the Sakarya River.
  • 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_69bd463b58d88190b258261573de9e91 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd881598448190a9bb456dee36004b completed March 20, 2026, 5:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8108dda308190bb3b7209efe132bb completed March 28, 2026, 5:31 p.m.
Created at: March 20, 2026, 2:06 p.m.