Triple

T5953056
Position Surface form Disambiguated ID Type / Status
Subject Schaumburg, Lower Saxony, Germany E132443 entity
Predicate contains P35 FINISHED
Object Rinteln E427772 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: Rinteln | Statement: [Schaumburg, Lower Saxony, Germany, contains, Rinteln]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rinteln
Context triple: [Schaumburg, Lower Saxony, Germany, contains, Rinteln]
  • A. Rinteln chosen
    Rinteln is a historic town in Lower Saxony, Germany, situated on the River Weser and known for its well-preserved medieval architecture.
  • B. Rheinhausen
    Rheinhausen is a district of the German city of Duisburg, located on the western bank of the Rhine in North Rhine-Westphalia.
  • C. Tureberg
    Tureberg is a central district in Sollentuna Municipality, Sweden, known for housing the municipal center and key public services.
  • D. Ramstedt
    Ramstedt is a Finnish surname most notably borne by linguist and diplomat Gustaf John Ramstedt, known for his pioneering work in Altaic and Mongolic studies.
  • E. Neudorf
    Neudorf is a residential district of Strasbourg, France, known for its dense urban fabric, local commerce, and proximity to the city center.
  • 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_69c0086b05cc8190a8f36a96927a525c completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c03983b8848190afaa37f35c95bad6 completed March 22, 2026, 6:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0e3d1801c819093dc43dc5a525796 completed March 23, 2026, 6:55 a.m.
Created at: March 22, 2026, 4:02 p.m.