Triple

T10645531
Position Surface form Disambiguated ID Type / Status
Subject Museu d’Història de Barcelona E250823 entity
Predicate shortName P43 FINISHED
Object MUHBA
MUHBA is Barcelona’s city history museum, dedicated to preserving and showcasing the urban, archaeological, and cultural heritage of Barcelona.
 E878150 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: MUHBA | Statement: [Museu d’Història de Barcelona, shortName, MUHBA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MUHBA
Context triple: [Museu d’Història de Barcelona, shortName, MUHBA]
  • A. MUHA
    MUHA is the ICAO airport code for José Martí International Airport, the main international gateway serving Havana, Cuba.
  • B. MÜB
    MÜB is a German vehicle registration code used for cars registered in the Hof district of Bavaria.
  • C. MABBIM
    MABBIM is a regional language council that coordinates and promotes the development and standardization of the Malay language across Brunei, Indonesia, and Malaysia.
  • D. MUF
    MUF is the youth wing of Sweden's Moderate Party, engaging young people in center-right politics and policy issues.
  • E. Muhu
    Muhu is a large Estonian island in the Baltic Sea known for its traditional villages, distinctive folk culture, and role as a gateway between the mainland and Saaremaa.
  • 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: MUHBA
Triple: [Museu d’Història de Barcelona, shortName, MUHBA]
Generated description
MUHBA is Barcelona’s city history museum, dedicated to preserving and showcasing the urban, archaeological, and cultural heritage of Barcelona.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MUHBA
Target entity description: MUHBA is Barcelona’s city history museum, dedicated to preserving and showcasing the urban, archaeological, and cultural heritage of Barcelona.
  • A. MUHA
    MUHA is the ICAO airport code for José Martí International Airport, the main international gateway serving Havana, Cuba.
  • B. MÜB
    MÜB is a German vehicle registration code used for cars registered in the Hof district of Bavaria.
  • C. MABBIM
    MABBIM is a regional language council that coordinates and promotes the development and standardization of the Malay language across Brunei, Indonesia, and Malaysia.
  • D. MUF
    MUF is the youth wing of Sweden's Moderate Party, engaging young people in center-right politics and policy issues.
  • E. Muhu
    Muhu is a large Estonian island in the Baltic Sea known for its traditional villages, distinctive folk culture, and role as a gateway between the mainland and Saaremaa.
  • 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_69d6aa5a4c4881908f39be6efe5981e5 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6dfe120908190ab91c38d57133739 completed April 8, 2026, 11:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69d97a580d388190aea5edadd4afc0d1 completed April 10, 2026, 10:31 p.m.
NEDg Description generation batch_69d97cc20448819094d650b9c1067dca completed April 10, 2026, 10:42 p.m.
NED2 Entity disambiguation (via description) batch_69d97e0cda0c8190af5013b971b2ad3c completed April 10, 2026, 10:47 p.m.
Created at: April 8, 2026, 9:05 p.m.