Triple

T5500039
Position Surface form Disambiguated ID Type / Status
Subject Gnesta Municipality E144303 entity
Predicate administrativeCenter P1474 FINISHED
Object Gnesta E529866 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: Gnesta | Statement: [Gnesta Municipality, administrativeCenter, Gnesta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gnesta
Context triple: [Gnesta Municipality, administrativeCenter, Gnesta]
  • A. Gnesta chosen
    Gnesta is a small town in Södermanland County, Sweden, known for its lakeside setting and role as a local commercial and transport hub.
  • B. Strängnäs
    Strängnäs is a historic Swedish town known for its medieval cathedral and picturesque location on the shores of Lake Mälaren.
  • 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. Bollstanäs
    Bollstanäs is a residential locality in Sweden situated within the suburban area of Upplands Väsby, north of Stockholm.
  • E. Strömstad
    Strömstad is a coastal town and municipality in western Sweden, near the Norwegian border, known for its archipelago, tourism, and ferry connections.
  • 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_69c008f5a2748190bce7a39aabf87a6d completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01b921884819082fe30100c71e516 completed March 22, 2026, 4:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04ca3e7cc8190b8092983f8db66b6 completed March 22, 2026, 8:10 p.m.
Created at: March 22, 2026, 3:32 p.m.