Triple

T6196130
Position Surface form Disambiguated ID Type / Status
Subject Ullern E138511 entity
Predicate hasNeighbourhood P4813 FINISHED
Object Hoff
Hoff is a residential neighborhood in Oslo, Norway, known for its mix of housing, local services, and proximity to major transport routes.
E575470 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: Hoff | Statement: [Ullern, hasNeighbourhood, Hoff]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hoff
Context triple: [Ullern, hasNeighbourhood, Hoff]
  • A. Hoff Beck
    Hoff Beck is a small stream in Cumbria, England, that serves as one of the tributaries feeding the River Eden.
  • B. Emhoff
    Emhoff is the surname of Doug Emhoff, an American lawyer best known as the husband of U.S. Vice President Kamala Harris and the first Second Gentleman of the United States.
  • C. Osthoff
    Osthoff is a German-language surname borne by various individuals, including those of notable public and historical prominence.
  • D. Hossa
    Hossa is a Slovak surname most notably associated with professional ice hockey players, including NHL star Marián Hossa and his brother Marcel Hossa.
  • E. Heinsohn
    Heinsohn is a surname most prominently associated with Tom Heinsohn, a Hall of Fame Boston Celtics player, coach, and broadcaster.
  • 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: Hoff
Triple: [Ullern, hasNeighbourhood, Hoff]
Generated description
Hoff is a residential neighborhood in Oslo, Norway, known for its mix of housing, local services, and proximity to major transport routes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hoff
Target entity description: Hoff is a residential neighborhood in Oslo, Norway, known for its mix of housing, local services, and proximity to major transport routes.
  • A. Hoff Beck
    Hoff Beck is a small stream in Cumbria, England, that serves as one of the tributaries feeding the River Eden.
  • B. Emhoff
    Emhoff is the surname of Doug Emhoff, an American lawyer best known as the husband of U.S. Vice President Kamala Harris and the first Second Gentleman of the United States.
  • C. Osthoff
    Osthoff is a German-language surname borne by various individuals, including those of notable public and historical prominence.
  • D. Hossa
    Hossa is a Slovak surname most notably associated with professional ice hockey players, including NHL star Marián Hossa and his brother Marcel Hossa.
  • E. Heinsohn
    Heinsohn is a surname most prominently associated with Tom Heinsohn, a Hall of Fame Boston Celtics player, coach, and broadcaster.
  • 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_69c008ab9b3081908a11b2c744838435 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0624571508190bd273b4a051fbe41 completed March 22, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69c16f234ffc8190a6e8166e2ac554a8 completed March 23, 2026, 4:49 p.m.
NEDg Description generation batch_69c1e32429f48190bc18f4d78f3c79e8 completed March 24, 2026, 1:04 a.m.
NED2 Entity disambiguation (via description) batch_69c1e4844f848190bf67d916851514bc completed March 24, 2026, 1:10 a.m.
Created at: March 22, 2026, 4:20 p.m.