Triple

T23543354
Position Surface form Disambiguated ID Type / Status
Subject Randesund E577815 entity
Predicate hasNeighbourhood P4813 FINISHED
Object Strømme NE NERFINISHED

How this triple was built (3 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: Strømme | Statement: [Randesund, hasNeighbourhood, Strømme]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Strømme
Context triple: [Randesund, hasNeighbourhood, Strømme]
  • A. Strømmen
    Strømmen is a town in Lillestrøm municipality in Viken county, Norway, known for its shopping mall Strømmen Storsenter and its historical industrial and railway heritage.
  • B. Strömmen
    Strömmen is the central waterway in Stockholm, Sweden, connecting Lake Mälaren with the Baltic Sea and flowing around the city’s historic core.
  • C. Strempt
    Strempt is a village and district of the town of Mechernich in North Rhine-Westphalia, Germany.
  • D. Straumsnes
    Straumsnes is a small Norwegian settlement located on the shores of the Rombaken fjord in northern Norway.
  • E. Strumień
    Strumień is a small historic town in southern Poland’s Silesian Voivodeship, known for its preserved old town and location near the Vistula River.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Strømme
Target entity description: Strømme is a residential neighborhood in the Randesund district of Kristiansand in Agder county, Norway.
  • A. Strømmen
    Strømmen is a town in Lillestrøm municipality in Viken county, Norway, known for its shopping mall Strømmen Storsenter and its historical industrial and railway heritage.
  • B. Strömmen
    Strömmen is the central waterway in Stockholm, Sweden, connecting Lake Mälaren with the Baltic Sea and flowing around the city’s historic core.
  • C. Strempt
    Strempt is a village and district of the town of Mechernich in North Rhine-Westphalia, Germany.
  • D. Straumsnes
    Straumsnes is a small Norwegian settlement located on the shores of the Rombaken fjord in northern Norway.
  • E. Strumień
    Strumień is a small historic town in southern Poland’s Silesian Voivodeship, known for its preserved old town and location near the Vistula River.
  • F. None of above. chosen

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_69e245f9d5d08190a4a20004e1784e20 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f1ae1dbe188190bc4afe7bfa7cda0f completed April 29, 2026, 7:07 a.m.
Created at: April 17, 2026, 6:11 p.m.