Triple

T19506085
Position Surface form Disambiguated ID Type / Status
Subject FC Argeș Pitești E488023 entity
Predicate nickname P55 FINISHED
Object Alb-violeții
Alb-violeții is a Romanian football club nickname referring to FC Argeș Pitești, known for its white and purple team colors and historical presence in Romanian football.
 E1380001 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: Alb-violeții | Statement: [FC Argeș Pitești, nickname, Alb-violeții]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Alb-violeții
Context triple: [FC Argeș Pitești, nickname, Alb-violeții]
  • A. Vama Veche
    Vama Veche is a Romanian seaside village on the Black Sea known for its bohemian atmosphere, alternative music scene, and free-spirited beach culture.
  • B. Les Violets
    Les Violets is the popular nickname of Toulouse FC, the French professional football club known for its distinctive purple team colors.
  • C. Violeta
    Violeta is a novel by Chilean author Isabel Allende that follows the tumultuous, century-long life of a woman born during the 1918 Spanish flu pandemic.
  • D. Blutë
    Blutë is the Albanian nickname for the football club Dinamo Tirana, commonly translated as "The Blues."
  • E. Violets
    Violets are the athletic teams representing New York University in intercollegiate sports.
  • 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: Alb-violeții
Triple: [FC Argeș Pitești, nickname, Alb-violeții]
Generated description
Alb-violeții is a Romanian football club nickname referring to FC Argeș Pitești, known for its white and purple team colors and historical presence in Romanian football.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Alb-violeții
Target entity description: Alb-violeții is a Romanian football club nickname referring to FC Argeș Pitești, known for its white and purple team colors and historical presence in Romanian football.
  • A. Vama Veche
    Vama Veche is a Romanian seaside village on the Black Sea known for its bohemian atmosphere, alternative music scene, and free-spirited beach culture.
  • B. Les Violets
    Les Violets is the popular nickname of Toulouse FC, the French professional football club known for its distinctive purple team colors.
  • C. Violeta
    Violeta is a novel by Chilean author Isabel Allende that follows the tumultuous, century-long life of a woman born during the 1918 Spanish flu pandemic.
  • D. Blutë
    Blutë is the Albanian nickname for the football club Dinamo Tirana, commonly translated as "The Blues."
  • E. Violets
    Violets are the athletic teams representing New York University in intercollegiate sports.
  • 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_69d8e8d9d1c88190b01cd78b8be49384 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63511fc688190bd1474406060fa1b completed April 20, 2026, 2:15 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07471f5348819087a442025b06f27d completed May 15, 2026, 4:17 p.m.
NEDg Description generation batch_6a07485e2e74819086ab5b5099079c81 completed May 15, 2026, 4:22 p.m.
NED2 Entity disambiguation (via description) batch_6a07498d29bc8190bb0eaf903dced2b0 completed May 15, 2026, 4:27 p.m.
Created at: April 10, 2026, 1:40 p.m.