Triple

T11023441
Position Surface form Disambiguated ID Type / Status
Subject Museum of Contemporary Canadian Art E260552 entity
Predicate alsoKnownAs P39 FINISHED
Object MOCCA
MOCCA is a Toronto-based art institution dedicated to exhibiting and promoting contemporary Canadian art and artists.
E900419 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: MOCCA | Statement: [Museum of Contemporary Canadian Art, alsoKnownAs, MOCCA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MOCCA
Context triple: [Museum of Contemporary Canadian Art, alsoKnownAs, MOCCA]
  • A. Mocha
    Mocha is a popular JavaScript test framework used primarily for running unit and integration tests in Node.js and browser-based applications.
  • B. Mocha
    Mocha is a subsidiary peak of the Carihuairazo volcanic massif in the Ecuadorian Andes.
  • C. Cappachino
    Cappachino is an alias of Cappadonna, an American rapper best known for his longtime affiliation with the Wu-Tang Clan.
  • D. Gamocha
    Gamocha is a traditional Assamese handwoven cloth, typically white with red borders and motifs, used in cultural rituals, ceremonies, and as a symbol of respect in Assam, India.
  • E. Caffe
    Caffe is an open-source deep learning framework known for its speed and modular design, widely used in computer vision research and applications.
  • 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: MOCCA
Triple: [Museum of Contemporary Canadian Art, alsoKnownAs, MOCCA]
Generated description
MOCCA is a Toronto-based art institution dedicated to exhibiting and promoting contemporary Canadian art and artists.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: MOCCA
Target entity description: MOCCA is a Toronto-based art institution dedicated to exhibiting and promoting contemporary Canadian art and artists.
  • A. Mocha
    Mocha is a popular JavaScript test framework used primarily for running unit and integration tests in Node.js and browser-based applications.
  • B. Mocha
    Mocha is a subsidiary peak of the Carihuairazo volcanic massif in the Ecuadorian Andes.
  • C. Cappachino
    Cappachino is an alias of Cappadonna, an American rapper best known for his longtime affiliation with the Wu-Tang Clan.
  • D. Gamocha
    Gamocha is a traditional Assamese handwoven cloth, typically white with red borders and motifs, used in cultural rituals, ceremonies, and as a symbol of respect in Assam, India.
  • E. Caffe
    Caffe is an open-source deep learning framework known for its speed and modular design, widely used in computer vision research and applications.
  • 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_69d6aa9687448190b28d353b1b6a610e completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d797be9f148190a3a967bad5947496 completed April 9, 2026, 12:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3750917d481909e73de0bfae27827 completed April 18, 2026, 12:11 p.m.
NEDg Description generation batch_69e37ab860f48190808ba0076cfa9c98 completed April 18, 2026, 12:36 p.m.
NED2 Entity disambiguation (via description) batch_69e3864dd0d48190b3fd81381f5d7418 completed April 18, 2026, 1:25 p.m.
Created at: April 8, 2026, 9:25 p.m.