Triple

T15955836
Position Surface form Disambiguated ID Type / Status
Subject Salzlandkreis E386930 entity
Predicate containsMunicipality P852 FINISHED
Object Güsten
Güsten is a small town in the German state of Saxony-Anhalt, known for its location within the Salzlandkreis district and its regional administrative and residential role.
E1185883 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: Güsten | Statement: [Salzlandkreis, containsMunicipality, Güsten]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Güsten
Context triple: [Salzlandkreis, containsMunicipality, Güsten]
  • A. Gustchen
    Gustchen is a character from Jakob Michael Reinhold Lenz’s play "Der Hofmeister," known as one of its notable figures.
  • B. Gaten
    Gaten is the first name of Gaten Matarazzo, an American actor best known for his role as Dustin Henderson on the Netflix series "Stranger Things."
  • C. Günz
    The Günz is a river in Bavaria, Germany, that flows through the district of Günzburg before joining the Danube.
  • D. Gostynin
    Gostynin is a historic town in central Poland known for its medieval roots and location near the Mazovian Lowland.
  • E. Gullac
    Gullac is a traditional Turkish dessert made from thin cornstarch pastry soaked in sweetened milk and typically garnished with nuts and pomegranate seeds, especially popular during Ramadan.
  • 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: Güsten
Triple: [Salzlandkreis, containsMunicipality, Güsten]
Generated description
Güsten is a small town in the German state of Saxony-Anhalt, known for its location within the Salzlandkreis district and its regional administrative and residential role.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Güsten
Target entity description: Güsten is a small town in the German state of Saxony-Anhalt, known for its location within the Salzlandkreis district and its regional administrative and residential role.
  • A. Gustchen
    Gustchen is a character from Jakob Michael Reinhold Lenz’s play "Der Hofmeister," known as one of its notable figures.
  • B. Gaten
    Gaten is the first name of Gaten Matarazzo, an American actor best known for his role as Dustin Henderson on the Netflix series "Stranger Things."
  • C. Günz
    The Günz is a river in Bavaria, Germany, that flows through the district of Günzburg before joining the Danube.
  • D. Gostynin
    Gostynin is a historic town in central Poland known for its medieval roots and location near the Mazovian Lowland.
  • E. Gullac
    Gullac is a traditional Turkish dessert made from thin cornstarch pastry soaked in sweetened milk and typically garnished with nuts and pomegranate seeds, especially popular during Ramadan.
  • 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_69d86da882448190a82ea962fe343b79 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156fb29848190a55cabb49cb19575 completed April 16, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffbe7c8ef081908fa6da7975c271f6 completed May 9, 2026, 11:08 p.m.
NEDg Description generation batch_69ffbf3e80b08190899262a9d03c0e93 completed May 9, 2026, 11:11 p.m.
NED2 Entity disambiguation (via description) batch_69ffbfc0d1548190b7d2e9e10e837f0b completed May 9, 2026, 11:14 p.m.
Created at: April 10, 2026, 4:53 a.m.