Triple

T18707444
Position Surface form Disambiguated ID Type / Status
Subject Lardal area E457407 entity
Predicate hasWaterBody P165 FINISHED
Object Numedalslågen 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: Numedalslågen | Statement: [Lardal area, hasWaterBody, Numedalslågen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Numedalslågen
Context triple: [Lardal area, hasWaterBody, Numedalslågen]
  • A. Numedalslågen chosen
    Numedalslågen is one of Norway’s longest rivers, flowing from the Hardangervidda plateau through the Numedal valley to the Larvik fjord in Eastern Norway.
  • B. Numedal valley
    Numedal valley is a traditional Norwegian valley in Viken county known for its well-preserved medieval stave churches and historic rural landscape.
  • C. Velledalen
    Velledalen is a scenic valley in western Norway known for its dramatic fjord landscape and rural setting within Sykkylven municipality.
  • D. Groruddalen
    Groruddalen is a large valley and suburban area in the northeastern part of Oslo, Norway, known for its diverse population and extensive residential neighborhoods.
  • E. Gudbrandsdalen
    Gudbrandsdalen is a major valley in Norway known for its dramatic landscapes, traditional farming culture, and historic role as a key inland travel route.
  • 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_69d8d392aad081909fe31aa03e6e97d1 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e567185c648190848ca47498eb56b3 completed April 19, 2026, 11:36 p.m.
Created at: April 10, 2026, 11:50 a.m.