Triple

T12347982
Position Surface form Disambiguated ID Type / Status
Subject Tyska kyrkan E294406 entity
Predicate locatedNear P294 FINISHED
Object Tyska brinken
Tyska brinken is a historic street in Stockholm’s Old Town (Gamla stan), known for its close association with the city’s former German merchant community.
 E978512 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: Tyska brinken | Statement: [Tyska kyrkan, locatedNear, Tyska brinken]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tyska brinken
Context triple: [Tyska kyrkan, locatedNear, Tyska brinken]
  • A. Bölverk
    Bölverk is an alias used by the Norse god Odin when he schemes to obtain the mead of poetry from the giantess Gunnlöð.
  • B. Svea
    Svea is a patriotic poem by Swedish poet Esaias Tegnér that celebrates Sweden and helped establish his reputation in early 19th-century Swedish literature.
  • C. Sundborn
    Sundborn is a village in central Sweden best known as the home and artistic setting of painter Carl Larsson and his family.
  • D. Stäket
    Stäket is a locality in the northern Stockholm region of Sweden, situated within Järfälla Municipality and known for its residential areas and proximity to Lake Mälaren.
  • E. Tysvær
    Tysvær is a coastal municipality in southwestern Norway known for its fjords, islands, and location between the cities of Haugesund and Stavanger.
  • 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: Tyska brinken
Triple: [Tyska kyrkan, locatedNear, Tyska brinken]
Generated description
Tyska brinken is a historic street in Stockholm’s Old Town (Gamla stan), known for its close association with the city’s former German merchant community.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tyska brinken
Target entity description: Tyska brinken is a historic street in Stockholm’s Old Town (Gamla stan), known for its close association with the city’s former German merchant community.
  • A. Bölverk
    Bölverk is an alias used by the Norse god Odin when he schemes to obtain the mead of poetry from the giantess Gunnlöð.
  • B. Svea
    Svea is a patriotic poem by Swedish poet Esaias Tegnér that celebrates Sweden and helped establish his reputation in early 19th-century Swedish literature.
  • C. Sundborn
    Sundborn is a village in central Sweden best known as the home and artistic setting of painter Carl Larsson and his family.
  • D. Stäket
    Stäket is a locality in the northern Stockholm region of Sweden, situated within Järfälla Municipality and known for its residential areas and proximity to Lake Mälaren.
  • E. Tysvær
    Tysvær is a coastal municipality in southwestern Norway known for its fjords, islands, and location between the cities of Haugesund and Stavanger.
  • 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_69d6ab6ccbec8190b09e2d357aa80064 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f7ba17481908b03af7316b28d9b completed April 10, 2026, 6:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62aae8d7c8190a722c28a5a153d1d completed May 2, 2026, 4:47 p.m.
NEDg Description generation batch_69f62c569a6c8190aecf8a4c627d8893 completed May 2, 2026, 4:54 p.m.
NED2 Entity disambiguation (via description) batch_69f62d13237881908b7c2dca173e20cf completed May 2, 2026, 4:57 p.m.
Created at: April 8, 2026, 9:53 p.m.