Triple

T20649785
Position Surface form Disambiguated ID Type / Status
Subject Roslagen E507457 entity
Predicate hasDialect P4251 FINISHED
Object Roslagen Swedish 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: Roslagen Swedish | Statement: [Roslagen, hasDialect, Roslagen Swedish]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roslagen Swedish
Context triple: [Roslagen, hasDialect, Roslagen Swedish]
  • A. Roslagen chosen
    Roslagen is a coastal region in east-central Sweden known for its archipelago, traditional fishing villages, and proximity to Stockholm.
  • B. Rostadalen
    Rostadalen is a scenic valley in Troms, Northern Norway, known for its rivers, mountains, and outdoor recreation opportunities such as hiking, skiing, and fishing.
  • C. Selångersån
    Selångersån is a river in Västernorrland County in northern Sweden that flows through the Sundsvall area into the Gulf of Bothnia.
  • D. Svedala
    Svedala is a locality and municipality in southern Sweden, known for its proximity to Malmö and its mix of residential areas, industry, and surrounding farmland.
  • E. Rosengård
    Rosengård is a prominent Swedish football club based in Malmö, known for its successful women's team and history of developing world-class players.
  • 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_69e0b4bf58c081908e52a4500e03ff83 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6af2133048190a6308074a3b3347e completed April 20, 2026, 10:56 p.m.
Created at: April 16, 2026, 11:43 a.m.