Triple

T10409629
Position Surface form Disambiguated ID Type / Status
Subject Mariefred E245352 entity
Predicate municipality P852 FINISHED
Object Strängnäs Municipality E176028 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: Strängnäs Municipality | Statement: [Mariefred, municipality, Strängnäs Municipality]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Strängnäs Municipality
Context triple: [Mariefred, municipality, Strängnäs Municipality]
  • A. Strängnäs chosen
    Strängnäs is a historic Swedish town known for its medieval cathedral and picturesque location on the shores of Lake Mälaren.
  • B. Bollnäs Municipality
    Bollnäs Municipality is a local government area in east-central Sweden known for its lakes, forests, and the town of Bollnäs as its administrative center.
  • C. Gnesta Municipality
    Gnesta Municipality is a local government area in Södermanland County, Sweden, known for its small-town character, lakes, and proximity to the Stockholm region.
  • D. Fagersta Municipality
    Fagersta Municipality is a local government area in Västmanland County, central Sweden, known for its industrial heritage and the town of Fagersta.
  • E. Nykvarn Municipality
    Nykvarn Municipality is a small municipality in Stockholm County, Sweden, known for its rural character, forests, and lakes west 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_69d381be340c8190b05998703d42d224 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9faa97c819092cadedadabe26bf completed April 7, 2026, 11:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69d87e9084fc81909e1d46a111a1ef2b completed April 10, 2026, 4:37 a.m.
Created at: April 6, 2026, 12:09 p.m.