Triple

T1624737
Position Surface form Disambiguated ID Type / Status
Subject District of Leipzig E35114 entity
Predicate traversedBy P225 FINISHED
Object 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.
 E235278 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 Mulde | Statement: [District of Leipzig, traversedBy, River Mulde]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: River Mulde
Context triple: [District of Leipzig, traversedBy, River Mulde]
  • 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. River Spree
    River Spree is a major river flowing through Berlin, Germany, known for shaping the city’s landscape and passing many historic and cultural landmarks.
  • C. Dahme
    The Dahme is a river in eastern Germany that flows through Brandenburg and Berlin before joining the Spree.
  • D. 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.
  • E. Inn River
    The Inn River is a major Alpine river in Central Europe that flows through Switzerland, Austria, and Germany before joining the Danube.
  • 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 Mulde
Triple: [District of Leipzig, traversedBy, River Mulde]
Generated description
The River Mulde is a river in central Germany that flows through the states of Saxony and Saxony-Anhalt before joining the Elbe.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: River Mulde
Target entity description: The River Mulde is a river in central Germany that flows through the states of Saxony and Saxony-Anhalt before joining the Elbe.
  • 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. River Spree
    River Spree is a major river flowing through Berlin, Germany, known for shaping the city’s landscape and passing many historic and cultural landmarks.
  • C. Dahme
    The Dahme is a river in eastern Germany that flows through Brandenburg and Berlin before joining the Spree.
  • D. 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.
  • E. Inn River
    The Inn River is a major Alpine river in Central Europe that flows through Switzerland, Austria, and Germany before joining the Danube.
  • 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_69a886023194819080a3fccd6e325d0e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a909d19b008190b2224717b2909a78 completed March 5, 2026, 4:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae303cdce081909b66ec04de43cf53 completed March 9, 2026, 2:28 a.m.
NEDg Description generation batch_69ae31549dec8190b3c9e8a73d561334 completed March 9, 2026, 2:32 a.m.
NED2 Entity disambiguation (via description) batch_69ae32673a948190bd2bc136edc33344 completed March 9, 2026, 2:37 a.m.
Created at: March 4, 2026, 7:28 p.m.