Triple

T22550091
Position Surface form Disambiguated ID Type / Status
Subject Lebern electoral district E557534 entity
Predicate hasMunicipality P847 FINISHED
Object Seeberg NE NERFINISHED

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: Seeberg | Statement: [Lebern electoral district, hasMunicipality, Seeberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seeberg
Context triple: [Lebern electoral district, hasMunicipality, Seeberg]
  • A. Seeberg chosen
    Seeberg is a small Swiss municipality located in the Emmental region of the canton of Bern.
  • B. Seeberg
    Seeberg is a German-language surname associated with various notable individuals, including theologian Reinhold Seeberg.
  • C. Sundsberg
    Sundsberg is a residential village and district in the municipality of Kirkkonummi in southern Finland, known for its modern housing and proximity to the Helsinki metropolitan area.
  • D. Moberg
    Moberg is a Swedish surname most famously associated with Vilhelm Moberg, the renowned author of the "The Emigrants" series about Swedish migration to America.
  • E. Solberga
    Solberga is a residential district in southern Stockholm, Sweden, known for its mid-20th-century housing and green areas.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e59db848190b4272ecd2b690ffd completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15f74512c8190b5369e19a4bc6325 completed April 29, 2026, 1:31 a.m.
Created at: April 16, 2026, 8:52 p.m.