Triple

T20202668
Position Surface form Disambiguated ID Type / Status
Subject Hagaparken E493262 entity
Predicate hasArchitect P184 FINISHED
Object Fredrik Magnus Piper NE NERFINISHED

How this triple was built (2 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: Fredrik Magnus Piper | Statement: [Hagaparken, hasArchitect, Fredrik Magnus Piper]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fredrik Magnus Piper
Context triple: [Hagaparken, hasArchitect, Fredrik Magnus Piper]
  • A. Fredrik Magnus Piper chosen
    Fredrik Magnus Piper was an 18th-century Swedish landscape architect known for introducing English-style landscape garden design to Sweden, including work on royal parks.
  • B. Christian Lundeberg
    Christian Lundeberg was a Swedish conservative politician who briefly served as Prime Minister of Sweden in 1905 during the dissolution of the union with Norway.
  • C. Fredrik Skagen
    Fredrik Skagen was a Norwegian crime novelist and screenwriter known for his suspenseful, psychologically driven thrillers.
  • D. Jockum Nordström
    Jockum Nordström is a Swedish artist known for his whimsical, narrative-rich drawings and collages that blend folk art, surrealism, and childlike imagery.
  • E. Frederic Knudtson
    Frederic Knudtson was an American film editor known for his work on numerous Hollywood productions in the mid-20th century.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da6269614c8190bb40475d9d477358 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66d8ec73c8190b630599c5ceb22ac completed April 20, 2026, 6:16 p.m.
Created at: April 11, 2026, 11:37 p.m.