Triple

T11636448
Position Surface form Disambiguated ID Type / Status
Subject Kjartan Fløgstad E276531 entity
Predicate notableWork P4 FINISHED
Object Dalen Portland
Dalen Portland is a Norwegian novel by Kjartan Fløgstad, known for its blend of social realism, industrial milieu, and experimental narrative style.
 E937308 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: Dalen Portland | Statement: [Kjartan Fløgstad, notableWork, Dalen Portland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dalen Portland
Context triple: [Kjartan Fløgstad, notableWork, Dalen Portland]
  • A. Storo
    Storo is a neighborhood and transport hub in Oslo, Norway, known for its major shopping center and connections to tram, metro, and bus lines.
  • B. Lilleaker
    Lilleaker is a residential neighborhood in western Oslo, Norway, known for its mix of housing, green areas, and proximity to the Lysaker River.
  • C. Apphus
    Apphus is the cognomen (family or distinguishing name) of Jonathan Apphus, a prominent leader of the Maccabean revolt in 2nd-century BCE Judea.
  • D. Jättendal
    Jättendal is a small locality in northern Sweden, situated within Nordanstig Municipality in Gävleborg County.
  • E. Linderud
    Linderud is a residential neighborhood in Oslo, Norway, known for its apartment blocks, shopping center, and access to public transportation.
  • 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: Dalen Portland
Triple: [Kjartan Fløgstad, notableWork, Dalen Portland]
Generated description
Dalen Portland is a Norwegian novel by Kjartan Fløgstad, known for its blend of social realism, industrial milieu, and experimental narrative style.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dalen Portland
Target entity description: Dalen Portland is a Norwegian novel by Kjartan Fløgstad, known for its blend of social realism, industrial milieu, and experimental narrative style.
  • A. Storo
    Storo is a neighborhood and transport hub in Oslo, Norway, known for its major shopping center and connections to tram, metro, and bus lines.
  • B. Lilleaker
    Lilleaker is a residential neighborhood in western Oslo, Norway, known for its mix of housing, green areas, and proximity to the Lysaker River.
  • C. Apphus
    Apphus is the cognomen (family or distinguishing name) of Jonathan Apphus, a prominent leader of the Maccabean revolt in 2nd-century BCE Judea.
  • D. Jättendal
    Jättendal is a small locality in northern Sweden, situated within Nordanstig Municipality in Gävleborg County.
  • E. Linderud
    Linderud is a residential neighborhood in Oslo, Norway, known for its apartment blocks, shopping center, and access to public transportation.
  • 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_69d6aafa51148190ab84940694c00235 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a25d80208190b33e95db2e7cc276 completed April 10, 2026, 7:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69ee87c0fe4881908dda9c493d958500 completed April 26, 2026, 9:46 p.m.
NEDg Description generation batch_69eeb31438f88190bab71212293f2d2e completed April 27, 2026, 12:51 a.m.
NED2 Entity disambiguation (via description) batch_69eecd715b448190b738479b7c1379a2 completed April 27, 2026, 2:44 a.m.
Created at: April 8, 2026, 9:39 p.m.