Triple

T5415573
Position Surface form Disambiguated ID Type / Status
Subject Stora Alvaret E121120 entity
Predicate locatedIn P40 FINISHED
Object Kalmar County E124615 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: Kalmar County | Statement: [Stora Alvaret, locatedIn, Kalmar County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kalmar County
Context triple: [Stora Alvaret, locatedIn, Kalmar County]
  • A. Kalmar County chosen
    Kalmar County is an administrative region in southeastern Sweden that includes parts of the mainland and the island of Öland, known for its coastal landscapes and historical sites.
  • B. Halland County
    Halland County is a coastal county in southwestern Sweden known for its beaches along the Kattegat, agriculture, and proximity to the city of Gothenburg.
  • C. Rice County
    Rice County is a county in southeastern Minnesota known for its mix of agricultural communities and college towns, including the city of Northfield.
  • D. La Crosse County
    La Crosse County is a county in western Wisconsin known for the city of La Crosse, its Mississippi River bluffs, and a mix of urban, agricultural, and natural landscapes.
  • E. Viken county
    Viken county is an administrative region in southeastern Norway that includes several municipalities and borders Sweden and the Oslofjord.
  • 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_69bd463a41cc8190b32ff5af2b96ca93 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd87be754c81909c0d0df6216cae46 completed March 20, 2026, 5:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf3aa743008190840ddcea08d67a66 completed March 22, 2026, 12:41 a.m.
Created at: March 20, 2026, 2:05 p.m.