Triple

T2877717
Position Surface form Disambiguated ID Type / Status
Subject Lübeck E56916 entity
Predicate hasRiver P165 FINISHED
Object Wakenitz
Wakenitz is a river in northern Germany that flows through the city of Lübeck and connects the Ratzeburger See to the Trave River.
 E348940 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: Wakenitz | Statement: [Lübeck, hasRiver, Wakenitz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wakenitz
Context triple: [Lübeck, hasRiver, Wakenitz]
  • A. 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.
  • 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. Wuhle
    Wuhle is a small river in Berlin, Germany, that flows through the eastern districts before joining the Spree.
  • D. 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.
  • E. Saale
    The Saale is a major river in central Germany that flows through the states of Thuringia, Saxony-Anhalt, and Bavaria before joining the Elbe.
  • 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: Wakenitz
Triple: [Lübeck, hasRiver, Wakenitz]
Generated description
Wakenitz is a river in northern Germany that flows through the city of Lübeck and connects the Ratzeburger See to the Trave River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wakenitz
Target entity description: Wakenitz is a river in northern Germany that flows through the city of Lübeck and connects the Ratzeburger See to the Trave River.
  • A. 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.
  • 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. Wuhle
    Wuhle is a small river in Berlin, Germany, that flows through the eastern districts before joining the Spree.
  • D. 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.
  • E. Saale
    The Saale is a major river in central Germany that flows through the states of Thuringia, Saxony-Anhalt, and Bavaria before joining the Elbe.
  • 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_69ab4a4ced288190ab6d3e062d10f7f6 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abe007329c8190b0bc1851c7307124 completed March 7, 2026, 8:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69b31a495fbc81909e40627a3feb9f42 completed March 12, 2026, 7:55 p.m.
NEDg Description generation batch_69b31e4419dc81908cf1dfc9e74630ab completed March 12, 2026, 8:12 p.m.
NED2 Entity disambiguation (via description) batch_69b31e8e2e908190846dcfd663d9ef78 completed March 12, 2026, 8:14 p.m.
Created at: March 6, 2026, 10:03 p.m.