Triple

T10638367
Position Surface form Disambiguated ID Type / Status
Subject Museo de Arte Latinoamericano de Buenos Aires E250650 entity
Predicate abbreviation P43 FINISHED
Object MALBA
MALBA is a renowned museum in Buenos Aires dedicated to modern and contemporary Latin American art.
 E876477 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: MALBA | Statement: [Museo de Arte Latinoamericano de Buenos Aires, abbreviation, MALBA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MALBA
Context triple: [Museo de Arte Latinoamericano de Buenos Aires, abbreviation, MALBA]
  • A. MAB
    MAB is a German bibliographic data format used for cataloging and exchanging library records, closely related to and historically aligned with MARC standards.
  • B. MAB
    MAB is a German vehicle registration code used for cars registered in the Erzgebirgskreis district of Saxony.
  • C. MAB
    MAB is the London Stock Exchange ticker symbol for Mitchells & Butlers plc, a major UK operator of pubs, bars, and restaurants.
  • D. Marlb
    Marlb is the commonly used abbreviation for Marlborough College, a prestigious independent boarding school in Wiltshire, England.
  • E. Mba
    Mba is a Gabonese surname most notably borne by Léon Mba, the first President of Gabon.
  • 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: MALBA
Triple: [Museo de Arte Latinoamericano de Buenos Aires, abbreviation, MALBA]
Generated description
MALBA is a renowned museum in Buenos Aires dedicated to modern and contemporary Latin American art.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MALBA
Target entity description: MALBA is a renowned museum in Buenos Aires dedicated to modern and contemporary Latin American art.
  • A. MAB
    MAB is a German bibliographic data format used for cataloging and exchanging library records, closely related to and historically aligned with MARC standards.
  • B. MAB
    MAB is a German vehicle registration code used for cars registered in the Erzgebirgskreis district of Saxony.
  • C. MAB
    MAB is the London Stock Exchange ticker symbol for Mitchells & Butlers plc, a major UK operator of pubs, bars, and restaurants.
  • D. Marlb
    Marlb is the commonly used abbreviation for Marlborough College, a prestigious independent boarding school in Wiltshire, England.
  • E. Mba
    Mba is a Gabonese surname most notably borne by Léon Mba, the first President of Gabon.
  • 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_69d6aa5993448190a493b790b8f85010 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6dfaf12188190a5774d4d64674653 completed April 8, 2026, 11:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69d96bcd8c0c8190a0fad6a85b5604bb completed April 10, 2026, 9:29 p.m.
NEDg Description generation batch_69d9701de92881908c0b8f05eae97e35 completed April 10, 2026, 9:48 p.m.
NED2 Entity disambiguation (via description) batch_69d970f3f78081909bcb2dae6dae06d5 completed April 10, 2026, 9:51 p.m.
Created at: April 8, 2026, 9:04 p.m.