Triple

T5151624
Position Surface form Disambiguated ID Type / Status
Subject Saale E116207 entity
Predicate hasTributary P415 FINISHED
Object Schwarza (Thuringia)
Schwarza (Thuringia) is a river in the German state of Thuringia that flows through the Thuringian Forest region before joining the Saale.
 E497006 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: Schwarza (Thuringia) | Statement: [Saale, hasTributary, Schwarza (Thuringia)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Schwarza (Thuringia)
Context triple: [Saale, hasTributary, Schwarza (Thuringia)]
  • A. Schwarza (Wutach)
    Schwarza (Wutach) is a river in the Black Forest region of Baden-Württemberg, Germany, that serves as one of the headwater streams of the Wutach.
  • B. Schwarzenbach
    Schwarzenbach is a small river in Switzerland that serves as a tributary of the Murg.
  • C. Schwarzach (Rezat)
    Schwarzach (Rezat) is a river in Bavaria, Germany, that serves as one of the headstreams forming the Rednitz River.
  • D. Genthin
    Genthin is a small town in the German state of Saxony-Anhalt, historically part of Prussia and known for its location along the Elbe–Havel Canal.
  • E. Weiterstadt
    Weiterstadt is a town in the German state of Hesse, located near Darmstadt and known for its residential areas and commercial centers.
  • 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: Schwarza (Thuringia)
Triple: [Saale, hasTributary, Schwarza (Thuringia)]
Generated description
Schwarza (Thuringia) is a river in the German state of Thuringia that flows through the Thuringian Forest region before joining the Saale.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Schwarza (Thuringia)
Target entity description: Schwarza (Thuringia) is a river in the German state of Thuringia that flows through the Thuringian Forest region before joining the Saale.
  • A. Schwarza (Wutach)
    Schwarza (Wutach) is a river in the Black Forest region of Baden-Württemberg, Germany, that serves as one of the headwater streams of the Wutach.
  • B. Schwarzenbach
    Schwarzenbach is a small river in Switzerland that serves as a tributary of the Murg.
  • C. Schwarzach (Rezat)
    Schwarzach (Rezat) is a river in Bavaria, Germany, that serves as one of the headstreams forming the Rednitz River.
  • D. Genthin
    Genthin is a small town in the German state of Saxony-Anhalt, historically part of Prussia and known for its location along the Elbe–Havel Canal.
  • E. Weiterstadt
    Weiterstadt is a town in the German state of Hesse, located near Darmstadt and known for its residential areas and commercial centers.
  • 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_69bd445d94788190b72e2cc563120995 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd78d965548190b09f574acf3b9b1a completed March 20, 2026, 4:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69bed004538c81908fac258ea99f7e63 completed March 21, 2026, 5:06 p.m.
NEDg Description generation batch_69bed07d478c8190aac215cb05bedae0 completed March 21, 2026, 5:08 p.m.
NED2 Entity disambiguation (via description) batch_69bed0d56af481908a3fb0693f151fb3 completed March 21, 2026, 5:09 p.m.
Created at: March 20, 2026, 1:44 p.m.