Triple

T5965081
Position Surface form Disambiguated ID Type / Status
Subject Dinkelsbühl E132731 entity
Predicate locatedOn P40 FINISHED
Object River Wörnitz
River Wörnitz is a river in Bavaria, Germany, that flows through historic towns such as Dinkelsbühl before joining the Danube.
 E567873 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: River Wörnitz | Statement: [Dinkelsbühl, locatedOn, River Wörnitz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: River Wörnitz
Context triple: [Dinkelsbühl, locatedOn, River Wörnitz]
  • A. 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.
  • B. Wakenitz
    Wakenitz is a river in northern Germany that flows through the city of Lübeck and connects the Ratzeburger See to the Trave River.
  • C. River Mulde
    The River Mulde is a river in central Germany that flows through the states of Saxony and Saxony-Anhalt before joining the Elbe.
  • D. Würschnitz
    Würschnitz is a small river in Saxony, Germany, that serves as one of the tributaries feeding into the Chemnitz River.
  • E. Rüdnitz
    Rüdnitz is a small municipality in the Barnim district of the federal state of Brandenburg in northeastern Germany.
  • 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: River Wörnitz
Triple: [Dinkelsbühl, locatedOn, River Wörnitz]
Generated description
River Wörnitz is a river in Bavaria, Germany, that flows through historic towns such as Dinkelsbühl before joining the Danube.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: River Wörnitz
Target entity description: River Wörnitz is a river in Bavaria, Germany, that flows through historic towns such as Dinkelsbühl before joining the Danube.
  • A. 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.
  • B. Wakenitz
    Wakenitz is a river in northern Germany that flows through the city of Lübeck and connects the Ratzeburger See to the Trave River.
  • C. River Mulde
    The River Mulde is a river in central Germany that flows through the states of Saxony and Saxony-Anhalt before joining the Elbe.
  • D. Würschnitz
    Würschnitz is a small river in Saxony, Germany, that serves as one of the tributaries feeding into the Chemnitz River.
  • E. Rüdnitz
    Rüdnitz is a small municipality in the Barnim district of the federal state of Brandenburg in northeastern Germany.
  • 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_69c0086c2364819091e9fe2f58fa2517 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c03a3ca1dc819098cde8ae5ec1d845 completed March 22, 2026, 6:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69c12505bb8c8190a2f509e9615d0dcd completed March 23, 2026, 11:33 a.m.
NEDg Description generation batch_69c12605b8148190967526967a8a1231 completed March 23, 2026, 11:37 a.m.
NED2 Entity disambiguation (via description) batch_69c126c641448190a826c213e8ab05af completed March 23, 2026, 11:40 a.m.
Created at: March 22, 2026, 4:03 p.m.