Triple

T4086655
Position Surface form Disambiguated ID Type / Status
Subject Bad Mergentheim E87603 entity
Predicate locatedOnRiver P165 FINISHED
Object Tauber
The Tauber is a river in central Germany that flows through the Franconian region, including the spa town of Bad Mergentheim, before joining the Main River.
 E413664 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: Tauber | Statement: [Bad Mergentheim, locatedOnRiver, Tauber]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tauber
Context triple: [Bad Mergentheim, locatedOnRiver, Tauber]
  • A. Miltenberg
    Miltenberg is a historic town in Bavaria, Germany, known for its well-preserved medieval old town along the Main River and its timber-framed architecture.
  • B. Sieber
    Sieber is a small river in the German state of Lower Saxony that flows through the Harz Mountains and into the Oder.
  • C. Geva
    Geva is a surname most notably associated with Tamara Geva, a Russian-American actress, dancer, and choreographer.
  • D. Tureberg
    Tureberg is a central district in Sollentuna Municipality, Sweden, known for housing the municipal center and key public services.
  • E. Biesenthal
    Biesenthal is a small town in the Barnim district of Brandenburg, Germany, known for its surrounding lakes, forests, and location within the Barnim Nature Park.
  • 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: Tauber
Triple: [Bad Mergentheim, locatedOnRiver, Tauber]
Generated description
The Tauber is a river in central Germany that flows through the Franconian region, including the spa town of Bad Mergentheim, before joining the Main River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tauber
Target entity description: The Tauber is a river in central Germany that flows through the Franconian region, including the spa town of Bad Mergentheim, before joining the Main River.
  • A. Miltenberg
    Miltenberg is a historic town in Bavaria, Germany, known for its well-preserved medieval old town along the Main River and its timber-framed architecture.
  • B. Sieber
    Sieber is a small river in the German state of Lower Saxony that flows through the Harz Mountains and into the Oder.
  • C. Geva
    Geva is a surname most notably associated with Tamara Geva, a Russian-American actress, dancer, and choreographer.
  • D. Tureberg
    Tureberg is a central district in Sollentuna Municipality, Sweden, known for housing the municipal center and key public services.
  • E. Biesenthal
    Biesenthal is a small town in the Barnim district of Brandenburg, Germany, known for its surrounding lakes, forests, and location within the Barnim Nature Park.
  • 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_69aed94425148190be337845d56fac22 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefc7ceeb48190807f0f5078ccfa12 completed March 9, 2026, 4:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69b56b6335c4819093538f261a5093b3 completed March 14, 2026, 2:06 p.m.
NEDg Description generation batch_69b56f249fa08190b14793f298ed160c completed March 14, 2026, 2:22 p.m.
NED2 Entity disambiguation (via description) batch_69b56f91065c8190bd6767249109d715 completed March 14, 2026, 2:24 p.m.
Created at: March 9, 2026, 3:39 p.m.