Triple

T10429747
Position Surface form Disambiguated ID Type / Status
Subject Aremarksjøen camping and cabins E245879 entity
Predicate locatedBy P2409 FINISHED
Object Aremarksjøen E245877 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: Aremarksjøen | Statement: [Aremarksjøen camping and cabins, locatedBy, Aremarksjøen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aremarksjøen
Context triple: [Aremarksjøen camping and cabins, locatedBy, Aremarksjøen]
  • A. Aremarksjøen chosen
    Aremarksjøen is a lake located in the municipality of Aremark in southeastern Norway, known for its natural scenery and outdoor recreation opportunities.
  • B. Sjusjøen
    Sjusjøen is a popular Norwegian cross-country skiing destination and mountain village known for its extensive trail network and scenic highland landscapes near Lillehammer.
  • C. Ensjø
    Ensjø is a residential and former industrial neighborhood in Oslo, Norway, known for its ongoing urban redevelopment and good public transport connections.
  • D. Sjusjøen lake
    Sjusjøen lake is a scenic freshwater lake in Norway, known for its surrounding cross-country skiing terrain and popular holiday cabins.
  • E. Lundevatnet
    Lundevatnet is a lake located in the municipality of Gjesdal in Rogaland county, southwestern Norway.
  • 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_69d381bf3dc08190bf35a2643e4e8f22 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4ea62d6448190a7f5b785467824cf completed April 7, 2026, 11:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69d87eb068bc8190be9c7c916850278e completed April 10, 2026, 4:38 a.m.
Created at: April 6, 2026, 12:13 p.m.