Triple

T5441897
Position Surface form Disambiguated ID Type / Status
Subject Ängelholm E122152 entity
Predicate hasRiver P165 FINISHED
Object Rönne River E520640 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: Rönne River | Statement: [Ängelholm, hasRiver, Rönne River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rönne River
Context triple: [Ängelholm, hasRiver, Rönne River]
  • A. Rönne River chosen
    The Rönne River is a significant watercourse in southern Sweden that flows through the province of Skåne before emptying into the Skälderviken bay of the Kattegat.
  • B. Ångerman River
    The Ångerman River is a major river in northern Sweden known for its long course through forested landscapes before emptying into the Gulf of Bothnia.
  • C. Österdalälven River
    The Österdalälven River is a major watercourse in central Sweden that flows through the Dalarna region and joins with the Västerdalälven to form the Dalälven.
  • D. Lule River
    The Lule River is a major river in northern Sweden that flows through Lapland and Norrbotten before emptying into the Bothnian Bay of the Baltic Sea.
  • E. Nidelva river
    Nidelva river is a river in southern Norway that flows through the county of Agder, including the municipality of Froland, before reaching the city of Arendal and the Skagerrak coast.
  • 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_69bd46400768819092925d461c0b8432 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd91c131648190b5a7f49efacc874a completed March 20, 2026, 6:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf6c5c053c8190a53df1b6b5088aab completed March 22, 2026, 4:13 a.m.
Created at: March 20, 2026, 2:07 p.m.