Triple

T15118078
Position Surface form Disambiguated ID Type / Status
Subject Ferencvárosi TC E361093 entity
Predicate nickname P55 FINISHED
Object Zöld-fehérek
Zöld-fehérek is the Hungarian nickname for Ferencvárosi TC, referring to the club’s traditional green-and-white colors.
 E1138120 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: Zöld-fehérek | Statement: [Ferencvárosi TC, nickname, Zöld-fehérek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zöld-fehérek
Context triple: [Ferencvárosi TC, nickname, Zöld-fehérek]
  • A. Rood-witten
    Rood-witten is a popular nickname for PSV Eindhoven, referring to the club’s traditional red-and-white team colors.
  • B. Geel-zwarten
    Geel-zwarten is a common Dutch nickname referring to the football club Vitesse, derived from the team’s yellow-and-black colors.
  • C. Blågult
    Blågult is the popular Swedish nickname for the Sweden women's national football team, referencing the country's blue and yellow colors.
  • D. 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.
  • E. Blau
    The Blau is a small river in the German state of Baden-Württemberg that flows through the city of Blaustein before joining the Danube.
  • 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: Zöld-fehérek
Triple: [Ferencvárosi TC, nickname, Zöld-fehérek]
Generated description
Zöld-fehérek is the Hungarian nickname for Ferencvárosi TC, referring to the club’s traditional green-and-white colors.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Zöld-fehérek
Target entity description: Zöld-fehérek is the Hungarian nickname for Ferencvárosi TC, referring to the club’s traditional green-and-white colors.
  • A. Rood-witten
    Rood-witten is a popular nickname for PSV Eindhoven, referring to the club’s traditional red-and-white team colors.
  • B. Geel-zwarten
    Geel-zwarten is a common Dutch nickname referring to the football club Vitesse, derived from the team’s yellow-and-black colors.
  • C. Blågult
    Blågult is the popular Swedish nickname for the Sweden women's national football team, referencing the country's blue and yellow colors.
  • D. 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.
  • E. Blau
    The Blau is a small river in the German state of Baden-Württemberg that flows through the city of Blaustein before joining the Danube.
  • 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_69d85a0491ec8190830960be8fafb994 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0059ca9048190b742e70e818ee64f completed April 15, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69feb7f0bb80819080250580466a070a completed May 9, 2026, 4:28 a.m.
NEDg Description generation batch_69feb91365d8819082def7715d889991 completed May 9, 2026, 4:33 a.m.
NED2 Entity disambiguation (via description) batch_69feb9c72eec8190be19a052bcf6d20e completed May 9, 2026, 4:36 a.m.
Created at: April 10, 2026, 3:06 a.m.