Triple

T810853
Position Surface form Disambiguated ID Type / Status
Subject Middle Franconia E17540 entity
Predicate contains P35 FINISHED
Object Schwabach
Schwabach is a historic town in northern Bavaria, Germany, known for its traditional gold-beating craft and well-preserved old town.
 E110122 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: Schwabach | Statement: [Middle Franconia, contains, Schwabach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Schwabach
Context triple: [Middle Franconia, contains, Schwabach]
  • A. Würschnitz
    Würschnitz is a small river in Saxony, Germany, that serves as one of the tributaries feeding into the Chemnitz River.
  • B. Brigach
    Brigach is a river in Germany that forms one of the two headstreams of the Danube.
  • C. 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.
  • D. Lahn
    The Lahn is a river in western Germany that flows through the states of North Rhine-Westphalia, Hesse, and Rhineland-Palatinate before joining the Rhine.
  • E. Gera
    Gera is a city in the German state of Thuringia, known for its industrial heritage and historic architecture along the White Elster river.
  • 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: Schwabach
Triple: [Middle Franconia, contains, Schwabach]
Generated description
Schwabach is a historic town in northern Bavaria, Germany, known for its traditional gold-beating craft and well-preserved old town.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Schwabach
Target entity description: Schwabach is a historic town in northern Bavaria, Germany, known for its traditional gold-beating craft and well-preserved old town.
  • A. Würschnitz
    Würschnitz is a small river in Saxony, Germany, that serves as one of the tributaries feeding into the Chemnitz River.
  • B. Brigach
    Brigach is a river in Germany that forms one of the two headstreams of the Danube.
  • C. 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.
  • D. Lahn
    The Lahn is a river in western Germany that flows through the states of North Rhine-Westphalia, Hesse, and Rhineland-Palatinate before joining the Rhine.
  • E. Gera
    Gera is a city in the German state of Thuringia, known for its industrial heritage and historic architecture along the White Elster river.
  • 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_69a4937ae8a08190b5084a03d532b30e completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4ab282fe48190a05ee97550843cd7 completed March 1, 2026, 9:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7edfcb7a88190b3670c6ef2b93609 completed March 4, 2026, 8:31 a.m.
NEDg Description generation batch_69a7f72ae04c81908ede9a57670cd995 completed March 4, 2026, 9:11 a.m.
NED2 Entity disambiguation (via description) batch_69a7f7cf9310819090384bbd7f45ca38 completed March 4, 2026, 9:13 a.m.
Created at: March 1, 2026, 7:38 p.m.