Triple

T13352931
Position Surface form Disambiguated ID Type / Status
Subject Malmö FF E318113 entity
Predicate nickname P55 FINISHED
Object Di blåe
Di blåe is the popular nickname for Malmö FF, one of Sweden’s most successful and historically significant football clubs.
 E1035821 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: Di blåe | Statement: [Malmö FF, nickname, Di blåe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Di blåe
Context triple: [Malmö FF, nickname, Di blåe]
  • A. Nu bleu
    Nu bleu is a famous series of blue-hued nude cut-out artworks by Henri Matisse, emblematic of his late-career paper cut-out technique.
  • B. Blå
    Blå is a renowned live music and cultural venue in Oslo, Norway, known for its vibrant jazz, electronic, and alternative music scene.
  • C. Fil Bleu
    Fil Bleu is the public transport operator responsible for running bus and tram services in and around the city of Tours, France.
  • D. Puistoblues
    Puistoblues is a long-running blues music festival held annually in Järvenpää, Finland, known for featuring prominent international and Finnish blues artists.
  • E. In Blue
    In Blue is a 1995 electronic music album by German composer Klaus Schulze, known for its expansive, atmospheric soundscapes and incorporation of ambient and space music elements.
  • 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: Di blåe
Triple: [Malmö FF, nickname, Di blåe]
Generated description
Di blåe is the popular nickname for Malmö FF, one of Sweden’s most successful and historically significant football clubs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Di blåe
Target entity description: Di blåe is the popular nickname for Malmö FF, one of Sweden’s most successful and historically significant football clubs.
  • A. Nu bleu
    Nu bleu is a famous series of blue-hued nude cut-out artworks by Henri Matisse, emblematic of his late-career paper cut-out technique.
  • B. Blå
    Blå is a renowned live music and cultural venue in Oslo, Norway, known for its vibrant jazz, electronic, and alternative music scene.
  • C. Fil Bleu
    Fil Bleu is the public transport operator responsible for running bus and tram services in and around the city of Tours, France.
  • D. Puistoblues
    Puistoblues is a long-running blues music festival held annually in Järvenpää, Finland, known for featuring prominent international and Finnish blues artists.
  • E. In Blue
    In Blue is a 1995 electronic music album by German composer Klaus Schulze, known for its expansive, atmospheric soundscapes and incorporation of ambient and space music elements.
  • 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_69d806b5a3c08190b42c267fb092f98a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99e8d520881908aa23c7102b72b72 completed April 11, 2026, 1:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69f71f49e5548190b14d09daea628e6b completed May 3, 2026, 10:11 a.m.
NEDg Description generation batch_69f721b1a5d88190b9075437c7ab81a5 completed May 3, 2026, 10:21 a.m.
NED2 Entity disambiguation (via description) batch_69f72262ede4819095b3dc4c7cd63450 completed May 3, 2026, 10:24 a.m.
Created at: April 9, 2026, 9:32 p.m.