Triple

T4365558
Position Surface form Disambiguated ID Type / Status
Subject Oppland E98763 entity
Predicate containsPart P35 FINISHED
Object Valdres E96299 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: Valdres | Statement: [Oppland, containsPart, Valdres]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Valdres
Context triple: [Oppland, containsPart, Valdres]
  • A. Valdres chosen
    Valdres is a scenic valley and traditional district in central southern Norway, known for its mountains, lakes, and rich cultural heritage.
  • B. Surselva region
    The Surselva region is a mountainous area in the canton of Graubünden, Switzerland, known for its Romansh-speaking communities and Alpine landscapes.
  • C. Lech Valley
    Lech Valley is a scenic alpine valley in the Northern Limestone Alps of Austria and Germany, known for its rugged mountain landscapes, traditional villages, and popular hiking routes such as the Lechweg trail.
  • D. Traun
    Traun is a town in the Austrian state of Upper Austria, located near Linz along the Traun River and known as a residential and industrial suburb of the regional capital.
  • E. Traunsee
    Traunsee is a picturesque alpine lake in Upper Austria, known for its deep waters, surrounding mountains, and popular lakeside towns like Gmunden.
  • 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_69b3454c772081908e20173e379e8ebe completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b35200263081909bb326a4d7a8db99 completed March 12, 2026, 11:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5dbcbbd1881908eb9f0ea6b2fe16b completed March 14, 2026, 10:06 p.m.
Created at: March 12, 2026, 11:17 p.m.