Triple

T20666438
Position Surface form Disambiguated ID Type / Status
Subject Orkanger E507899 entity
Predicate hasShoppingCentre P4285 FINISHED
Object Amfi Orkanger
Amfi Orkanger is a shopping center located in the town of Orkanger in Trøndelag, Norway, offering a variety of retail stores and services.
E1444600 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: Amfi Orkanger | Statement: [Orkanger, hasShoppingCentre, Amfi Orkanger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amfi Orkanger
Context triple: [Orkanger, hasShoppingCentre, Amfi Orkanger]
  • A. Orkanger
    Orkanger is a town in Trøndelag county, Norway, known as a regional commercial and service hub by the Orkdalsfjorden.
  • B. Jordal Amfi
    Jordal Amfi is a prominent ice hockey arena in Oslo, Norway, historically known as a central venue for major national and international ice hockey events.
  • C. Beitostølen
    Beitostølen is a Norwegian mountain village and popular year-round tourist destination known for its skiing, hiking, and access to the Jotunheimen National Park.
  • D. Skedsmo
    Skedsmo is a former municipality in Viken county, Norway, located northeast of Oslo and known for its suburban communities and historical ties to the Oslo region.
  • E. Trysil
    Trysil is a Norwegian municipality renowned for its large alpine ski resort and extensive outdoor recreation opportunities.
  • 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: Amfi Orkanger
Triple: [Orkanger, hasShoppingCentre, Amfi Orkanger]
Generated description
Amfi Orkanger is a shopping center located in the town of Orkanger in Trøndelag, Norway, offering a variety of retail stores and services.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Amfi Orkanger
Target entity description: Amfi Orkanger is a shopping center located in the town of Orkanger in Trøndelag, Norway, offering a variety of retail stores and services.
  • A. Orkanger
    Orkanger is a town in Trøndelag county, Norway, known as a regional commercial and service hub by the Orkdalsfjorden.
  • B. Jordal Amfi
    Jordal Amfi is a prominent ice hockey arena in Oslo, Norway, historically known as a central venue for major national and international ice hockey events.
  • C. Beitostølen
    Beitostølen is a Norwegian mountain village and popular year-round tourist destination known for its skiing, hiking, and access to the Jotunheimen National Park.
  • D. Skedsmo
    Skedsmo is a former municipality in Viken county, Norway, located northeast of Oslo and known for its suburban communities and historical ties to the Oslo region.
  • E. Trysil
    Trysil is a Norwegian municipality renowned for its large alpine ski resort and extensive outdoor recreation opportunities.
  • 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_69e0b4c059bc81908ea762cd73ea4424 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6b5c39dd48190965d65537592aef6 completed April 20, 2026, 11:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08cd5fc3e081909087414333b2615e completed May 16, 2026, 8:02 p.m.
NEDg Description generation batch_6a08d175eefc8190a5178c0f70f7d79f completed May 16, 2026, 8:20 p.m.
NED2 Entity disambiguation (via description) batch_6a08d23e8ac48190be1726c8e4913b1a completed May 16, 2026, 8:23 p.m.
Created at: April 16, 2026, 11:44 a.m.