Triple

T15197455
Position Surface form Disambiguated ID Type / Status
Subject Älvsborg County E363173 entity
Predicate borderedBy P224 FINISHED
Object Skaraborg County E360443 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: Skaraborg County | Statement: [Älvsborg County, borderedBy, Skaraborg County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Skaraborg County
Context triple: [Älvsborg County, borderedBy, Skaraborg County]
  • A. Skaraborg County chosen
    Skaraborg County was a former county in Sweden that existed until 1997, when it was merged into the larger Västra Götaland County.
  • B. Jämtland County
    Jämtland County is a large, sparsely populated region in central Sweden known for its mountains, forests, and popular outdoor tourism areas.
  • C. Värmland County
    Värmland County is a region in west-central Sweden known for its vast forests, lakes, and cultural heritage, with Karlstad as its administrative center.
  • D. Gotland County
    Gotland County is an administrative region of Sweden encompassing the island of Gotland in the Baltic Sea, known for its medieval heritage and unique insular culture.
  • 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0067fcc788190abdc083d4eadeb36 completed April 15, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff4542d4308190bebf13dff1ebfe08 completed May 9, 2026, 2:31 p.m.
Created at: April 10, 2026, 3:10 a.m.