Triple

T22095888
Position Surface form Disambiguated ID Type / Status
Subject Flustret bridge E546030 entity
Predicate crosses P416 FINISHED
Object Fyrisån NE NERFINISHED

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: Fyrisån | Statement: [Flustret bridge, crosses, Fyrisån]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fyrisån
Context triple: [Flustret bridge, crosses, Fyrisån]
  • A. Fyris River chosen
    The Fyris River is a notable waterway in eastern Sweden that flows through the city of Uppsala and is closely associated with its history and landscape.
  • B. Lærdalselvi
    Lærdalselvi is a renowned salmon river in western Norway, flowing through the Lærdal valley to the Sognefjord and known for both its fishing and scenic landscape.
  • C. Klarälven
    Klarälven is a major river in Norway and Sweden that flows south through Värmland before emptying into Lake Vänern.
  • D. Stjørdalselva
    Stjørdalselva is a river in Trøndelag county, Norway, known for flowing through the Stjørdal valley and being a popular destination for salmon fishing.
  • E. Eidselva
    Eidselva is a river in Norway that serves as one of the main waterways feeding into the lake Norsjø.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e36d03c8190a83a1ba802b7231b completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f128e8f1f48190a5f1d9e96a6de688 completed April 28, 2026, 9:38 p.m.
Created at: April 16, 2026, 8:29 p.m.