Triple

T1568617
Position Surface form Disambiguated ID Type / Status
Subject Gävleborg County E33488 entity
Predicate containsCity P294 FINISHED
Object Sandviken E233001 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: Sandviken | Statement: [Gävleborg County, containsCity, Sandviken]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sandviken
Context triple: [Gävleborg County, containsCity, Sandviken]
  • A. Strömstad
    Strömstad is a coastal town and municipality in western Sweden, near the Norwegian border, known for its archipelago, tourism, and ferry connections.
  • B. Sandviken Municipality chosen
    Sandviken Municipality is a local government area in Gävleborg County, Sweden, known for its industrial heritage and the town of Sandviken, home to the steel company Sandvik.
  • C. Strängnäs
    Strängnäs is a historic Swedish town known for its medieval cathedral and picturesque location on the shores of Lake Mälaren.
  • D. Västerhaninge
    Västerhaninge is a suburban locality in Stockholm County, Sweden, known as a residential community within the Haninge area.
  • E. Bollstanäs
    Bollstanäs is a residential locality in Sweden situated within the suburban area of Upplands Väsby, north of Stockholm.
  • 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_69a885f11b048190935025a035302715 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a908a15e308190b8bec55d1712812a completed March 5, 2026, 4:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae891d41d88190aec6987c64c99757 completed March 9, 2026, 8:47 a.m.
Created at: March 4, 2026, 7:27 p.m.