Triple

T13853501
Position Surface form Disambiguated ID Type / Status
Subject Kvitfjell ski resort E333002 entity
Predicate locatedIn P40 FINISHED
Object Gudbrandsdalen valley E105262 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: Gudbrandsdalen valley | Statement: [Kvitfjell ski resort, locatedIn, Gudbrandsdalen valley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gudbrandsdalen valley
Context triple: [Kvitfjell ski resort, locatedIn, Gudbrandsdalen valley]
  • 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. Verdal valley
    Verdal valley is a fertile agricultural valley in Trøndelag county, central Norway, known for its farming landscape and the town of Verdalsøra.
  • C. Eresfjorden valley
    Eresfjorden valley is a scenic fjord valley in Møre og Romsdal county, Norway, known for its dramatic mountains, deep waters, and picturesque rural landscapes.
  • D. Saudafjorden valley
    Saudafjorden valley is a scenic fjord valley in western Norway known for its steep mountainsides, deep waters, and proximity to the industrial town of Sauda.
  • E. 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.
  • 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_69d81c5ba13c8190839315f54768acfd completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02da9460819093a3ec5a3c62ea81 completed April 14, 2026, 9:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69fd466ac0f08190b99dd4cdcef339c6 completed May 8, 2026, 2:11 a.m.
Created at: April 9, 2026, 10:14 p.m.