Triple

T15531934
Position Surface form Disambiguated ID Type / Status
Subject Großgörschenstraße E370239 entity
Predicate hasNameComponent P24447 FINISHED
Object Großgörschen
Großgörschen is a German place name, likely referring to a village or locality that lends its name to streets such as Großgörschenstraße.
E1174023 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: Großgörschen | Statement: [Großgörschenstraße, hasNameComponent, Großgörschen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Großgörschen
Context triple: [Großgörschenstraße, hasNameComponent, Großgörschen]
  • A. Gremsdorf
    Gremsdorf is a small municipality in the Erlangen-Höchstadt district of Bavaria, Germany.
  • B. Göhren
    Göhren is a seaside resort town on the Baltic Sea coast of Germany, located on the island of Rügen and known for its beaches and tourism.
  • C. Gieselau
    Gieselau is a small river in northern Germany that serves as a tributary of the Eider.
  • D. Züssow
    Züssow is a small railway junction village in northeastern Germany that serves as a key transfer point between regional trains and the Usedomer Bäderbahn line to the Baltic Sea island of Usedom.
  • E. Genthin
    Genthin is a small town in the German state of Saxony-Anhalt, historically part of Prussia and known for its location along the Elbe–Havel Canal.
  • 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: Großgörschen
Triple: [Großgörschenstraße, hasNameComponent, Großgörschen]
Generated description
Großgörschen is a German place name, likely referring to a village or locality that lends its name to streets such as Großgörschenstraße.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Großgörschen
Target entity description: Großgörschen is a German place name, likely referring to a village or locality that lends its name to streets such as Großgörschenstraße.
  • A. Gremsdorf
    Gremsdorf is a small municipality in the Erlangen-Höchstadt district of Bavaria, Germany.
  • B. Göhren
    Göhren is a seaside resort town on the Baltic Sea coast of Germany, located on the island of Rügen and known for its beaches and tourism.
  • C. Gieselau
    Gieselau is a small river in northern Germany that serves as a tributary of the Eider.
  • D. Züssow
    Züssow is a small railway junction village in northeastern Germany that serves as a key transfer point between regional trains and the Usedomer Bäderbahn line to the Baltic Sea island of Usedom.
  • E. Genthin
    Genthin is a small town in the German state of Saxony-Anhalt, historically part of Prussia and known for its location along the Elbe–Havel Canal.
  • 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_69d85cc521a08190921fb50319dddc34 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e0414877d88190804ee76566004e13 completed April 16, 2026, 1:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff82e376f08190b5ae9793a0381204 completed May 9, 2026, 6:54 p.m.
NEDg Description generation batch_69ff83a48be88190b0d32c3657a596ea completed May 9, 2026, 6:57 p.m.
NED2 Entity disambiguation (via description) batch_69ff846436e48190b711da134c9a3b81 completed May 9, 2026, 7 p.m.
Created at: April 10, 2026, 4:06 a.m.