Triple

T9818992
Position Surface form Disambiguated ID Type / Status
Subject Gołdap E238478 entity
Predicate twinTown P1072 FINISHED
Object Oziersk
Oziersk is a town in Russia’s Kaliningrad Oblast, historically linked to nearby Polish regions and engaged in cross-border cooperation with places like Gołdap.
 E838749 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: Oziersk | Statement: [Gołdap, twinTown, Oziersk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Oziersk
Context triple: [Gołdap, twinTown, Oziersk]
  • A. Ostravice
    Ostravice is a river in the Czech Republic that flows through the Moravian-Silesian region and gives its name to the town of Ostravice and partly to the city of Ostrava.
  • B. Koshice
    Košice is the second-largest city in Slovakia, known for its well-preserved medieval old town and status as an important cultural and economic center in the country.
  • C. Osek
    Osek is a town in the Czech Republic historically associated with the family origins of writer Franz Kafka’s father, Hermann Kafka.
  • D. Jizbice
    Jizbice is a small locality that forms part of the town of Náchod in the Hradec Králové Region of the Czech Republic.
  • E. Kozelets
    Kozelets is an urban-type settlement in northern Ukraine, historically known as a local administrative and trading center.
  • 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: Oziersk
Triple: [Gołdap, twinTown, Oziersk]
Generated description
Oziersk is a town in Russia’s Kaliningrad Oblast, historically linked to nearby Polish regions and engaged in cross-border cooperation with places like Gołdap.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Oziersk
Target entity description: Oziersk is a town in Russia’s Kaliningrad Oblast, historically linked to nearby Polish regions and engaged in cross-border cooperation with places like Gołdap.
  • A. Ostravice
    Ostravice is a river in the Czech Republic that flows through the Moravian-Silesian region and gives its name to the town of Ostravice and partly to the city of Ostrava.
  • B. Koshice
    Košice is the second-largest city in Slovakia, known for its well-preserved medieval old town and status as an important cultural and economic center in the country.
  • C. Osek
    Osek is a town in the Czech Republic historically associated with the family origins of writer Franz Kafka’s father, Hermann Kafka.
  • D. Jizbice
    Jizbice is a small locality that forms part of the town of Náchod in the Hradec Králové Region of the Czech Republic.
  • E. Kozelets
    Kozelets is an urban-type settlement in northern Ukraine, historically known as a local administrative and trading center.
  • 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_69ca84dfde1481909f47c286d715f892 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb2f74e348190be8e4394ae6fe3fe completed April 2, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69d299b0ed588190ae5fe6e87db668c7 completed April 5, 2026, 5:19 p.m.
NEDg Description generation batch_69d29b7430248190b8965eaf1286dd7c completed April 5, 2026, 5:27 p.m.
NED2 Entity disambiguation (via description) batch_69d29c7ba9f081908f4614098d6c954b completed April 5, 2026, 5:31 p.m.
Created at: March 30, 2026, 8:31 p.m.