Triple

T7483148
Position Surface form Disambiguated ID Type / Status
Subject Tornionjoki E176811 entity
Predicate hasLocalName P6353 FINISHED
Object Torne älv E179055 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: Torne älv | Statement: [Tornionjoki, hasLocalName, Torne älv]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Torne älv
Context triple: [Tornionjoki, hasLocalName, Torne älv]
  • A. Rönne River
    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. River Swere
    River Swere is a small river in Oxfordshire, England, that flows through rural villages and countryside before joining the River Cherwell.
  • C. Ångerman River chosen
    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.
  • D. River Skane
    River Skane is a small Irish river known as a tributary of the historically significant River Boyne in eastern Ireland.
  • E. Arve River
    The Arve River is a glacial river in the Alps that flows through France and Switzerland, notably passing through Geneva before joining the Rhône.
  • 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_69c69f24ac508190bb98fe927c0bd065 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f53923e4819081bf79ed962a971c completed March 27, 2026, 9:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c83498965481909367681b63c5db63 completed March 28, 2026, 8:05 p.m.
Created at: March 27, 2026, 3:42 p.m.