Triple

T10429659
Position Surface form Disambiguated ID Type / Status
Subject Dals-Ed Municipality E245876 entity
Predicate region P40 FINISHED
Object Västra Götaland E65754 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: Västra Götaland | Statement: [Dals-Ed Municipality, region, Västra Götaland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Västra Götaland
Context triple: [Dals-Ed Municipality, region, Västra Götaland]
  • A. Västra Götaland County chosen
    Västra Götaland County is a large administrative region in western Sweden that includes the city of Gothenburg and serves as an important hub for industry, culture, and transportation.
  • B. Västergötland
    Västergötland is a historical province in southwestern Sweden known for its varied landscapes, medieval heritage, and important industrial and urban centers.
  • C. Småland
    Småland is a historical province in southern Sweden known for its forests, lakes, traditional red cottages, and as the birthplace of IKEA founder Ingvar Kamprad.
  • D. Götaland
    Götaland is one of Sweden’s three major historical lands, encompassing the country’s southern regions and several of its largest cities.
  • E. Östergötland County
    Östergötland County is an administrative region in southeastern Sweden known for its mix of historic cities, fertile plains, and coastal and archipelago landscapes along the Baltic Sea.
  • 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_69d381bf3dc08190bf35a2643e4e8f22 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4ea4b4b5881908ae23f8efeea482b completed April 7, 2026, 11:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69d979ecfef48190a6014601bcddf761 completed April 10, 2026, 10:30 p.m.
Created at: April 6, 2026, 12:13 p.m.