Triple

T19779686
Position Surface form Disambiguated ID Type / Status
Subject Mart Rovereto E475097 entity
Predicate shortName P43 FINISHED
Object Mart
Mart is a prominent modern and contemporary art museum based in Rovereto, Italy, known for its extensive collections and cultural programming.
E1394951 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: Mart | Statement: [Mart Rovereto, shortName, Mart]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mart
Context triple: [Mart Rovereto, shortName, Mart]
  • A. Mart
    Mart is the given name of Mart Stam, a Dutch architect and furniture designer known for pioneering modernist and tubular steel chair designs.
  • B. Mer
    Mer is a small coral island in the eastern Torres Strait of Australia, known as the home of the Meriam people and central to the landmark native title case brought by Eddie Mabo.
  • C. Mer
    Mer is a small commune in central France located in the Loir-et-Cher department, known for its proximity to the Loire River and several historic châteaux.
  • D. Mate
    Mate is a Croatian entrepreneur and engineer best known as the founder and CEO of electric hypercar manufacturer Rimac Automobili.
  • E. Miller
    Miller is a common English and Scottish occupational surname historically given to people who worked in grain mills.
  • 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: Mart
Triple: [Mart Rovereto, shortName, Mart]
Generated description
Mart is a prominent modern and contemporary art museum based in Rovereto, Italy, known for its extensive collections and cultural programming.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mart
Target entity description: Mart is a prominent modern and contemporary art museum based in Rovereto, Italy, known for its extensive collections and cultural programming.
  • A. Mart
    Mart is the given name of Mart Stam, a Dutch architect and furniture designer known for pioneering modernist and tubular steel chair designs.
  • B. Mer
    Mer is a small coral island in the eastern Torres Strait of Australia, known as the home of the Meriam people and central to the landmark native title case brought by Eddie Mabo.
  • C. Mer
    Mer is a small commune in central France located in the Loir-et-Cher department, known for its proximity to the Loire River and several historic châteaux.
  • D. Mate
    Mate is a Croatian entrepreneur and engineer best known as the founder and CEO of electric hypercar manufacturer Rimac Automobili.
  • E. Miller
    Miller is a common English and Scottish occupational surname historically given to people who worked in grain mills.
  • 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_69d8e51a43a08190956bc6df13c91a77 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65382ff308190832800dd60675f7a completed April 20, 2026, 4:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07bd7ac0b48190bc331db6689f7b54 completed May 16, 2026, 12:42 a.m.
NEDg Description generation batch_6a07be450e608190a008095b0502b2d3 completed May 16, 2026, 12:45 a.m.
NED2 Entity disambiguation (via description) batch_6a07bed4c8d8819094fafce7eee69ee7 completed May 16, 2026, 12:48 a.m.
Created at: April 10, 2026, 1:49 p.m.