Triple

T6053725
Position Surface form Disambiguated ID Type / Status
Subject Riehen E134855 entity
Predicate hasTwinTown P919 FINISHED
Object Köniz E399782 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: Köniz | Statement: [Riehen, hasTwinTown, Köniz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Köniz
Context triple: [Riehen, hasTwinTown, Köniz]
  • A. Köniz chosen
    Köniz is a large suburban municipality in the canton of Bern, Switzerland, known for its proximity to the city of Bern and its mix of urban and rural landscapes.
  • B. Zwenkau
    Zwenkau is a small town in the Free State of Saxony in eastern Germany, situated near Leipzig and known for its proximity to former lignite mining areas now being transformed into lake landscapes.
  • C. Zollikofen
    Zollikofen is a municipality in the canton of Bern in Switzerland, functioning as a suburban community within the greater Bern metropolitan region.
  • D. Kreutzwald
    Kreutzwald is the surname of Friedrich Reinhold Kreutzwald, a prominent 19th-century Estonian writer and key figure in the Estonian national awakening.
  • E. Seckbach
    Seckbach is a district in the east of Frankfurt am Main, Germany, known for its residential character and proximity to green spaces like the Lohrberg.
  • 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_69c00877b6d4819096b0e163728b73a3 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05708fda48190ad3d1860969ebb6a completed March 22, 2026, 8:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69c113ac051c8190b2b8a4985948d8e0 completed March 23, 2026, 10:19 a.m.
Created at: March 22, 2026, 4:09 p.m.