Triple

T14376895
Position Surface form Disambiguated ID Type / Status
Subject Tórshavn E356497 entity
Predicate hasSportsClub P346 FINISHED
Object KÍF Tórshavn
KÍF Tórshavn is a sports club based in the Faroe Islands' capital, Tórshavn, known for competing in local Faroese sporting competitions.
 E356497 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: KÍF Tórshavn | Statement: [Tórshavn, hasSportsClub, KÍF Tórshavn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KÍF Tórshavn
Context triple: [Tórshavn, hasSportsClub, KÍF Tórshavn]
  • A. Tvøroyri
    Tvøroyri is a town on the island of Suðuroy in the Faroe Islands, known as an important local fishing and administrative center.
  • B. Klaksvík
    Klaksvík is the second-largest town in the Faroe Islands, known as an important fishing and commercial center located on the island of Borðoy.
  • C. Hvalvík
    Hvalvík is a small coastal village in the Faroe Islands known for its traditional wooden church and scenic fjord-side setting.
  • D. Tórshavn
    Tórshavn is the capital and largest city of the Faroe Islands, serving as the political, cultural, and economic center of the archipelago.
  • E. Faro
    Faro is a historic coastal city in southern Portugal that serves as the capital of the Algarve region and a major gateway for tourism.
  • 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: KÍF Tórshavn
Triple: [Tórshavn, hasSportsClub, KÍF Tórshavn]
Generated description
KÍF Tórshavn is a sports club based in the Faroe Islands' capital, Tórshavn, known for competing in local Faroese sporting competitions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KÍF Tórshavn
Target entity description: KÍF Tórshavn is a sports club based in the Faroe Islands' capital, Tórshavn, known for competing in local Faroese sporting competitions.
  • A. Tvøroyri
    Tvøroyri is a town on the island of Suðuroy in the Faroe Islands, known as an important local fishing and administrative center.
  • B. Klaksvík
    Klaksvík is the second-largest town in the Faroe Islands, known as an important fishing and commercial center located on the island of Borðoy.
  • C. Hvalvík
    Hvalvík is a small coastal village in the Faroe Islands known for its traditional wooden church and scenic fjord-side setting.
  • D. Tórshavn chosen
    Tórshavn is the capital and largest city of the Faroe Islands, serving as the political, cultural, and economic center of the archipelago.
  • E. Faro
    Faro is a historic coastal city in southern Portugal that serves as the capital of the Algarve region and a major gateway for tourism.
  • F. None of above.

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_69d8279163a081908aec45c0e3f1e02f completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de900949fc81909be0da1734c46645 completed April 14, 2026, 7:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd4c5728fc819089ef3c7c34b10101 completed May 8, 2026, 2:37 a.m.
NEDg Description generation batch_69fd4e4bae188190a8d1c5b833d58cd8 completed May 8, 2026, 2:45 a.m.
NED2 Entity disambiguation (via description) batch_69fd4f5782b4819081d32dbef032ac61 completed May 8, 2026, 2:49 a.m.
Created at: April 10, 2026, 1:16 a.m.