Triple

T14941454
Position Surface form Disambiguated ID Type / Status
Subject Děčín E372539 entity
Predicate hasGermanName P1435 FINISHED
Object Tetschen
Tetschen is the German name for the Czech city of Děčín, located in the Ústí nad Labem Region near the Elbe River.
E1141387 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: Tetschen | Statement: [Děčín, hasGermanName, Tetschen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tetschen
Context triple: [Děčín, hasGermanName, Tetschen]
  • A. Chomutov
    Chomutov is a city in the northwest of the Czech Republic known for its industrial heritage and location near the Ore Mountains.
  • B. Gottwaldov
    Gottwaldov is the former name (1949–1990) of the Czech industrial city now known as Zlín, historically associated with the Baťa shoe company.
  • C. Nymburk
    Nymburk is a historic town in the Czech Republic known for its medieval fortifications and location on the Elbe River.
  • D. Reichenberg
    Reichenberg is the former German name for the city of Liberec, a major urban center in the northern Czech Republic near the border with Germany and Poland.
  • E. Rumburk
    Rumburk is a small historic town in the northern Czech Republic, near the German border, known for its Baroque architecture and location in the Šluknov Hook region.
  • 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: Tetschen
Triple: [Děčín, hasGermanName, Tetschen]
Generated description
Tetschen is the German name for the Czech city of Děčín, located in the Ústí nad Labem Region near the Elbe River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tetschen
Target entity description: Tetschen is the German name for the Czech city of Děčín, located in the Ústí nad Labem Region near the Elbe River.
  • A. Chomutov
    Chomutov is a city in the northwest of the Czech Republic known for its industrial heritage and location near the Ore Mountains.
  • B. Gottwaldov
    Gottwaldov is the former name (1949–1990) of the Czech industrial city now known as Zlín, historically associated with the Baťa shoe company.
  • C. Nymburk
    Nymburk is a historic town in the Czech Republic known for its medieval fortifications and location on the Elbe River.
  • D. Reichenberg
    Reichenberg is the former German name for the city of Liberec, a major urban center in the northern Czech Republic near the border with Germany and Poland.
  • E. Rumburk
    Rumburk is a small historic town in the northern Czech Republic, near the German border, known for its Baroque architecture and location in the Šluknov Hook region.
  • 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_69d85cc9da0c81908d583ca3f63a3908 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded68c1df0819084c0cd61b207d398 completed April 15, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69fec8741c048190b549782f49969f6a completed May 9, 2026, 5:39 a.m.
NEDg Description generation batch_69fec9d32f388190aef036dde9cdda42 completed May 9, 2026, 5:44 a.m.
NED2 Entity disambiguation (via description) batch_69feca4a9db08190a083b5f0d9ec091b completed May 9, 2026, 5:46 a.m.
Created at: April 10, 2026, 2:38 a.m.