Triple

T2926556
Position Surface form Disambiguated ID Type / Status
Subject Barnim (district) E78857 entity
Predicate contains P35 FINISHED
Object Rüdnitz
Rüdnitz is a small municipality in the Barnim district of the federal state of Brandenburg in northeastern Germany.
E350165 NE FINISHED

How this triple was built (4 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: Rüdnitz | Statement: [Barnim (district), contains, Rüdnitz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rüdnitz
Context triple: [Barnim (district), contains, Rüdnitz]
  • A. Wakenitz
    Wakenitz is a river in northern Germany that flows through the city of Lübeck and connects the Ratzeburger See to the Trave River.
  • B. Chemnitz River
    The Chemnitz River is a waterway in the German state of Saxony that flows through and gives its name to the city of Chemnitz.
  • C. Regnitz
    The Regnitz is a river in the German state of Bavaria that flows through cities such as Erlangen and Bamberg before joining the Main River.
  • D. Unstrut River
    The Unstrut River is a tributary of the Saale in central Germany, flowing through Thuringia and Saxony-Anhalt and known for its scenic valleys, vineyards, and historic towns.
  • E. Wuhle
    Wuhle is a small river in Berlin, Germany, that flows through the eastern districts before joining the Spree.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Rüdnitz
Triple: [Barnim (district), contains, Rüdnitz]
Generated description
Rüdnitz is a small municipality in the Barnim district of the federal state of Brandenburg in northeastern Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Rüdnitz
Target entity description: Rüdnitz is a small municipality in the Barnim district of the federal state of Brandenburg in northeastern Germany.
  • A. Wakenitz
    Wakenitz is a river in northern Germany that flows through the city of Lübeck and connects the Ratzeburger See to the Trave River.
  • B. Chemnitz River
    The Chemnitz River is a waterway in the German state of Saxony that flows through and gives its name to the city of Chemnitz.
  • C. Regnitz
    The Regnitz is a river in the German state of Bavaria that flows through cities such as Erlangen and Bamberg before joining the Main River.
  • D. Unstrut River
    The Unstrut River is a tributary of the Saale in central Germany, flowing through Thuringia and Saxony-Anhalt and known for its scenic valleys, vineyards, and historic towns.
  • E. Wuhle
    Wuhle is a small river in Berlin, Germany, that flows through the eastern districts before joining the Spree.
  • F. None of above. chosen

Provenance (5 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_69ad8b0d40b481908bc2a5fa2e73c3fb completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad97c1e9c08190bcec80bc3262697a completed March 8, 2026, 3:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69b324d0152881909526cf9079560dc6 completed March 12, 2026, 8:40 p.m.
NEDg Description generation batch_69b32571dfa48190875c7c83bac368ac completed March 12, 2026, 8:43 p.m.
NED2 Entity disambiguation (via description) batch_69b325dd73b08190bae32d7ffa582ade completed March 12, 2026, 8:45 p.m.
Created at: March 8, 2026, 2:55 p.m.