Triple

T19816848
Position Surface form Disambiguated ID Type / Status
Subject Skeppsholmen E476079 entity
Predicate hasLandmark P105 FINISHED
Object ArkDes
ArkDes is Sweden’s national center for architecture and design, featuring exhibitions, research, and public programs on Skeppsholmen in Stockholm.
 E1397066 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: ArkDes | Statement: [Skeppsholmen, hasLandmark, ArkDes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ArkDes
Context triple: [Skeppsholmen, hasLandmark, ArkDes]
  • A. Arsht
    Arsht is the surname of Adrienne Arsht, a prominent American business leader and philanthropist known for her major contributions to the arts and civic causes.
  • B. Arkesini
    Arkesini is a small traditional village on the Greek island of Amorgos, known for its ancient ruins and scenic Aegean setting.
  • C. Architekton
    Architekton is an Arizona-based architecture firm known for contemporary, context-sensitive public and cultural projects.
  • D. Arche
    Arche is a small, irregular outer moon of Jupiter belonging to the Carme group of retrograde satellites.
  • E. ARCO
    ARCO is a U.S.-based gasoline and convenience store brand known for its low-cost fuel and extensive network of service stations, particularly on the West Coast.
  • 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: ArkDes
Triple: [Skeppsholmen, hasLandmark, ArkDes]
Generated description
ArkDes is Sweden’s national center for architecture and design, featuring exhibitions, research, and public programs on Skeppsholmen in Stockholm.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ArkDes
Target entity description: ArkDes is Sweden’s national center for architecture and design, featuring exhibitions, research, and public programs on Skeppsholmen in Stockholm.
  • A. Arsht
    Arsht is the surname of Adrienne Arsht, a prominent American business leader and philanthropist known for her major contributions to the arts and civic causes.
  • B. Arkesini
    Arkesini is a small traditional village on the Greek island of Amorgos, known for its ancient ruins and scenic Aegean setting.
  • C. Architekton
    Architekton is an Arizona-based architecture firm known for contemporary, context-sensitive public and cultural projects.
  • D. Arche
    Arche is a small, irregular outer moon of Jupiter belonging to the Carme group of retrograde satellites.
  • E. ARCO
    ARCO is a U.S.-based gasoline and convenience store brand known for its low-cost fuel and extensive network of service stations, particularly on the West Coast.
  • 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_69d8e51bc4208190a1c57d8c5d1b15e4 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e654f9c5b08190987237f5144c3b37 completed April 20, 2026, 4:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07ccce7d0881909a08ef7e52078998 completed May 16, 2026, 1:47 a.m.
NEDg Description generation batch_6a07cf8ca2988190b2dfa8c2f4d3dcd9 completed May 16, 2026, 1:59 a.m.
NED2 Entity disambiguation (via description) batch_6a07d02ee2308190b263ed90342e9072 completed May 16, 2026, 2:02 a.m.
Created at: April 10, 2026, 1:50 p.m.