Triple

T4376901
Position Surface form Disambiguated ID Type / Status
Subject IFK Göteborg E99028 entity
Predicate nickname P55 FINISHED
Object Blåvitt
Blåvitt is the popular nickname of IFK Göteborg, one of Sweden’s most successful and historically significant football clubs.
 E435622 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: Blåvitt | Statement: [IFK Göteborg, nickname, Blåvitt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Blåvitt
Context triple: [IFK Göteborg, nickname, Blåvitt]
  • A. 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.
  • B. Borouge
    Borouge is a leading petrochemicals company based in the United Arab Emirates, specializing in the production of polyolefins for packaging, infrastructure, and industrial applications.
  • C. Schwarz-Rot-Gold
    Schwarz-Rot-Gold is the German term for the traditional black-red-gold tricolour that symbolizes German national identity and democracy.
  • D. Rood-witten
    Rood-witten is a popular nickname for PSV Eindhoven, referring to the club’s traditional red-and-white team colors.
  • E. 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.
  • 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: Blåvitt
Triple: [IFK Göteborg, nickname, Blåvitt]
Generated description
Blåvitt is the popular nickname of IFK Göteborg, one of Sweden’s most successful and historically significant football clubs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Blåvitt
Target entity description: Blåvitt is the popular nickname of IFK Göteborg, one of Sweden’s most successful and historically significant football clubs.
  • A. 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.
  • B. Borouge
    Borouge is a leading petrochemicals company based in the United Arab Emirates, specializing in the production of polyolefins for packaging, infrastructure, and industrial applications.
  • C. Schwarz-Rot-Gold
    Schwarz-Rot-Gold is the German term for the traditional black-red-gold tricolour that symbolizes German national identity and democracy.
  • D. Rood-witten
    Rood-witten is a popular nickname for PSV Eindhoven, referring to the club’s traditional red-and-white team colors.
  • E. 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.
  • 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_69b3454ea8f48190a49c2436624d6ef6 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3523ed220819090cef1a7933489d9 completed March 12, 2026, 11:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5e51907688190ad964d341eb84529 completed March 14, 2026, 10:45 p.m.
NEDg Description generation batch_69b5e5d675808190a5a9767f253f0178 completed March 14, 2026, 10:48 p.m.
NED2 Entity disambiguation (via description) batch_69b5e66837e081908ac5a0079485cd18 completed March 14, 2026, 10:51 p.m.
Created at: March 12, 2026, 11:18 p.m.