Triple

T12495104
Position Surface form Disambiguated ID Type / Status
Subject Fredrikstad FK E298663 entity
Predicate shortName P43 FINISHED
Object FFK
FFK is a Norwegian football club based in Fredrikstad, known for its rich history and multiple national titles.
E987512 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: FFK | Statement: [Fredrikstad FK, shortName, FFK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FFK
Context triple: [Fredrikstad FK, shortName, FFK]
  • A. FFK
    FFK is the football association responsible for organizing and overseeing the national football activities and competitions in Curaçao.
  • B. FKK
    FKK is the National Rail station code assigned to Falkirk High railway station in Scotland.
  • C. FFC
    FFC is the commonly used abbreviation for Falkirk Football Club, a professional Scottish football team based in Falkirk.
  • D. FFC
    FFC is the common abbreviation for Fluminense Football Club, a traditional Brazilian sports club best known for its professional football team based in Rio de Janeiro.
  • E. FFA
    FFA is the commonly used abbreviation for the Fédération Française d’Athlétisme, the governing body for athletics in France.
  • 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: FFK
Triple: [Fredrikstad FK, shortName, FFK]
Generated description
FFK is a Norwegian football club based in Fredrikstad, known for its rich history and multiple national titles.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: FFK
Target entity description: FFK is a Norwegian football club based in Fredrikstad, known for its rich history and multiple national titles.
  • A. FFK
    FFK is the football association responsible for organizing and overseeing the national football activities and competitions in Curaçao.
  • B. FKK
    FKK is the National Rail station code assigned to Falkirk High railway station in Scotland.
  • C. FFC
    FFC is the commonly used abbreviation for Falkirk Football Club, a professional Scottish football team based in Falkirk.
  • D. FFC
    FFC is the common abbreviation for Fluminense Football Club, a traditional Brazilian sports club best known for its professional football team based in Rio de Janeiro.
  • E. FFA
    FFA (Future Farmers of America) is a U.S.-based youth organization that promotes agricultural education, leadership, and career development for students.
  • 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_69d6ada4cd388190ae3bbf83ff87057a completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94de4089c8190917a45365e641437 completed April 10, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64badad488190ae1c6c2883a88a4b completed May 2, 2026, 7:08 p.m.
NEDg Description generation batch_69f64f9c0e8c81908db3cad51daa77b6 completed May 2, 2026, 7:25 p.m.
NED2 Entity disambiguation (via description) batch_69f6504b033c8190a31f49f2e59c6810 completed May 2, 2026, 7:28 p.m.
Created at: April 8, 2026, 9:57 p.m.