Triple

T21969220
Position Surface form Disambiguated ID Type / Status
Subject Aulestad E542540 entity
Predicate locatedIn P40 FINISHED
Object Gudbrandsdalen 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: Gudbrandsdalen | Statement: [Aulestad, locatedIn, Gudbrandsdalen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gudbrandsdalen
Context triple: [Aulestad, locatedIn, Gudbrandsdalen]
  • A. Gudbrandsdalen chosen
    Gudbrandsdalen is a major valley in Norway known for its dramatic landscapes, traditional farming culture, and historic role as a key inland travel route.
  • B. Velledalen
    Velledalen is a scenic valley in western Norway known for its dramatic fjord landscape and rural setting within Sykkylven municipality.
  • C. 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.
  • D. Numedal valley
    Numedal valley is a traditional Norwegian valley in Viken county known for its well-preserved medieval stave churches and historic rural landscape.
  • E. Verdal valley
    Verdal valley is a fertile agricultural valley in Trøndelag county, central Norway, known for its farming landscape and the town of Verdalsøra.
  • 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_69e0c48070988190909db97667b9a0ac completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f1245d50d08190a4bf93139daa77eb completed April 28, 2026, 9:19 p.m.
Created at: April 16, 2026, 8:02 p.m.