Triple

T15216745
Position Surface form Disambiguated ID Type / Status
Subject Sogn region E363655 entity
Predicate borders P224 FINISHED
Object Valdres region 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 region | Statement: [Sogn region, borders, Valdres region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Valdres region
Context triple: [Sogn region, borders, Valdres region]
  • 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. Illertissen region
    The Illertissen region is an area in southern Germany known for its location along the Iller River and its mix of small towns, agricultural landscapes, and local industry.
  • C. Arlberg region
    The Arlberg region is a renowned alpine area in western Austria famous for its high-end ski resorts, picturesque mountain villages, and extensive winter sports opportunities.
  • D. Surselva region
    The Surselva region is a mountainous area in the canton of Graubünden, Switzerland, known for its Romansh-speaking communities and Alpine landscapes.
  • E. Urseren-Goms region
    The Urseren-Goms region is a high-alpine area in the central Swiss Alps known for its dramatic mountain landscapes, glacial valleys, and traditional Swiss villages.
  • 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_69d85a0ce24c81909c4d3b6475548c95 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0076f90c481909989befe031a2cae completed April 15, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69fed343f51481908f04c35d37b39ad2 completed May 9, 2026, 6:25 a.m.
Created at: April 10, 2026, 3:11 a.m.