Triple

T5729547
Position Surface form Disambiguated ID Type / Status
Subject Grünerløkka E126346 entity
Predicate hasCulturalVenue P105 FINISHED
Object Blå
Blå is a renowned live music and cultural venue in Oslo, Norway, known for its vibrant jazz, electronic, and alternative music scene.
 E540475 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: Blå | Statement: [Grünerløkka, hasCulturalVenue, Blå]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Blå
Context triple: [Grünerløkka, hasCulturalVenue, Blå]
  • 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. Blue
    Blue is the costumed blue owl that serves as the official mascot of Wellesley College.
  • C. Blue
    Blue is the anthropomorphic blue horse who serves as the official mascot of the NFL’s Indianapolis Colts.
  • D. Blue
    Blue is Derek Jarman’s experimental 1993 film consisting solely of a blue screen accompanied by a layered soundscape of narration, music, and effects reflecting on his life, illness, and mortality.
  • E. Blue
    Blue is a critically acclaimed 1971 folk album by Joni Mitchell, widely regarded as one of the greatest and most influential records in popular music history.
  • 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: Blå
Triple: [Grünerløkka, hasCulturalVenue, Blå]
Generated description
Blå is a renowned live music and cultural venue in Oslo, Norway, known for its vibrant jazz, electronic, and alternative music scene.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Blå
Target entity description: Blå is a renowned live music and cultural venue in Oslo, Norway, known for its vibrant jazz, electronic, and alternative music scene.
  • 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. Blue
    Blue is the costumed blue owl that serves as the official mascot of Wellesley College.
  • C. Blue
    Blue is the anthropomorphic blue horse who serves as the official mascot of the NFL’s Indianapolis Colts.
  • D. Blue
    Blue is Derek Jarman’s experimental 1993 film consisting solely of a blue screen accompanied by a layered soundscape of narration, music, and effects reflecting on his life, illness, and mortality.
  • E. Blue
    Blue is a critically acclaimed 1971 folk album by Joni Mitchell, widely regarded as one of the greatest and most influential records in popular music history.
  • 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_69c0082f723881908ce8bb13a0c0f8b7 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c025303860819093e51f176babed71 completed March 22, 2026, 5:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a8cca748190b471c842fd2ce218 completed March 22, 2026, 9:09 p.m.
NEDg Description generation batch_69c05b7c3bd48190ad8303bf1bb3ec6a completed March 22, 2026, 9:13 p.m.
NED2 Entity disambiguation (via description) batch_69c05c22c31081909a9a67d99e7c728c completed March 22, 2026, 9:16 p.m.
Created at: March 22, 2026, 3:47 p.m.