Triple

T7501451
Position Surface form Disambiguated ID Type / Status
Subject KF Tirana E177269 entity
Predicate nickname P55 FINISHED
Object The White and Blues
The White and Blues is the nickname of KF Tirana, one of Albania’s most successful and historically significant football clubs.
 E668674 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: The White and Blues | Statement: [KF Tirana, nickname, The White and Blues]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: The White and Blues
Context triple: [KF Tirana, nickname, The White and Blues]
  • A. The White-Blues
    The White-Blues is the traditional nickname of FC Dynamo Kyiv, one of Ukraine’s most successful and historically significant football clubs.
  • B. The Blue and White
    The Blue and White is a popular nickname for the Toronto Maple Leafs, the historic NHL franchise known for its blue-and-white team colors.
  • C. The Black and Whites
    The Black and Whites is the traditional nickname of Hull F.C., a professional rugby league club based in Kingston upon Hull, England.
  • D. The White One
    The White One is an epithet of Nekhbet, the ancient Egyptian vulture goddess who served as a protector of Upper Egypt and the pharaoh.
  • E. The Blonde
    The Blonde is a character typically portrayed as an attractive, enigmatic woman whose appearance and demeanor often play into themes of allure and mystery.
  • 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: The White and Blues
Triple: [KF Tirana, nickname, The White and Blues]
Generated description
The White and Blues is the nickname of KF Tirana, one of Albania’s most successful and historically significant football clubs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: The White and Blues
Target entity description: The White and Blues is the nickname of KF Tirana, one of Albania’s most successful and historically significant football clubs.
  • A. The White-Blues
    The White-Blues is the traditional nickname of FC Dynamo Kyiv, one of Ukraine’s most successful and historically significant football clubs.
  • B. The Blue and White
    The Blue and White is a popular nickname for the Toronto Maple Leafs, the historic NHL franchise known for its blue-and-white team colors.
  • C. The Black and Whites
    The Black and Whites is the traditional nickname of Hull F.C., a professional rugby league club based in Kingston upon Hull, England.
  • D. The White One
    The White One is an epithet of Nekhbet, the ancient Egyptian vulture goddess who served as a protector of Upper Egypt and the pharaoh.
  • E. The Blonde
    The Blonde is a character typically portrayed as an attractive, enigmatic woman whose appearance and demeanor often play into themes of allure and mystery.
  • 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_69c69f2696688190915a8458f2398211 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f59aabb8819085bdbe9c793d5b8b completed March 27, 2026, 9:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c83c9490fc81908d35c0537b45aa13 completed March 28, 2026, 8:39 p.m.
NEDg Description generation batch_69c83e17c25c8190a7a329f0a6169fac completed March 28, 2026, 8:46 p.m.
NED2 Entity disambiguation (via description) batch_69c83ef9ce408190907a62c9d0a6dc16 completed March 28, 2026, 8:50 p.m.
Created at: March 27, 2026, 3:44 p.m.