Triple

T6484633
Position Surface form Disambiguated ID Type / Status
Subject Feuchtwangen E146477 entity
Predicate locatedOnRiver P165 FINISHED
Object Sulzach
Sulzach is a small river in Bavaria, Germany, that flows through the town of Feuchtwangen and forms part of the local Franconian river system.
 E597159 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: Sulzach | Statement: [Feuchtwangen, locatedOnRiver, Sulzach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sulzach
Context triple: [Feuchtwangen, locatedOnRiver, Sulzach]
  • A. Nucingen
    Nucingen is a powerful and unscrupulous banker in Balzac’s La Comédie humaine, emblematic of the corrupt financial elite of 19th-century Paris.
  • B. Riehen
    Riehen is a municipality in the canton of Basel-Stadt in northern Switzerland, known as a residential suburb of Basel near the German border.
  • C. Kreuzlingen
    Kreuzlingen is a Swiss town in the canton of Thurgau, located on the southern shore of Lake Constance near the German border.
  • D. Zuchwil
    Zuchwil is a Swiss municipality located near the city of Solothurn in the canton of Solothurn.
  • E. Nesslau-Krummenau
    Nesslau-Krummenau was a former municipality in the canton of St. Gallen in northeastern Switzerland, known for its rural Alpine setting and merger into the larger municipality of Nesslau.
  • 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: Sulzach
Triple: [Feuchtwangen, locatedOnRiver, Sulzach]
Generated description
Sulzach is a small river in Bavaria, Germany, that flows through the town of Feuchtwangen and forms part of the local Franconian river system.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sulzach
Target entity description: Sulzach is a small river in Bavaria, Germany, that flows through the town of Feuchtwangen and forms part of the local Franconian river system.
  • A. Nucingen
    Nucingen is a powerful and unscrupulous banker in Balzac’s La Comédie humaine, emblematic of the corrupt financial elite of 19th-century Paris.
  • B. Riehen
    Riehen is a municipality in the canton of Basel-Stadt in northern Switzerland, known as a residential suburb of Basel near the German border.
  • C. Kreuzlingen
    Kreuzlingen is a Swiss town in the canton of Thurgau, located on the southern shore of Lake Constance near the German border.
  • D. Zuchwil
    Zuchwil is a Swiss municipality located near the city of Solothurn in the canton of Solothurn.
  • E. Nesslau-Krummenau
    Nesslau-Krummenau was a former municipality in the canton of St. Gallen in northeastern Switzerland, known for its rural Alpine setting and merger into the larger municipality of Nesslau.
  • 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_69c0090158c08190af0df9a2348d2d52 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c06a6de31c81909dd99d105f5bb4c2 completed March 22, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c653b24670819088fa8e0d7eb6f73b completed March 27, 2026, 9:53 a.m.
NEDg Description generation batch_69c655c84a7c81909bb59f9db52f5d3a completed March 27, 2026, 10:02 a.m.
NED2 Entity disambiguation (via description) batch_69c656c84ecc8190b5d0c947c27a3bb0 completed March 27, 2026, 10:07 a.m.
Created at: March 22, 2026, 4:52 p.m.