Triple

T12376706
Position Surface form Disambiguated ID Type / Status
Subject College of Architecture, Design, and the Arts E295140 entity
Predicate abbreviation P43 FINISHED
Object CADA
CADA is a college focused on education and research in architecture, design, visual arts, and performing arts.
 E977414 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: CADA | Statement: [College of Architecture, Design, and the Arts, abbreviation, CADA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CADA
Context triple: [College of Architecture, Design, and the Arts, abbreviation, CADA]
  • A. CADA
    CADA is a Colorado state civil rights law that prohibits discrimination in areas such as employment, housing, and public accommodations.
  • B. CEDAE
    CEDAE is the state-owned water and sewage utility company responsible for supplying and treating water for much of Rio de Janeiro, Brazil.
  • C. CACD
    CACD is the commonly used abbreviation for the United States District Court for the Central District of California, a federal trial court serving the central region of the state.
  • D. CAIDAS
    CAIDAS is a research center focused on advancing artificial intelligence and data science through interdisciplinary collaboration and innovation.
  • E. CADE
    CADE is a leading international conference focused on research and advances in automated reasoning and automated theorem proving.
  • 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: CADA
Triple: [College of Architecture, Design, and the Arts, abbreviation, CADA]
Generated description
CADA is a college focused on education and research in architecture, design, visual arts, and performing arts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CADA
Target entity description: CADA is a college focused on education and research in architecture, design, visual arts, and performing arts.
  • A. CADA
    CADA is a Colorado state civil rights law that prohibits discrimination in areas such as employment, housing, and public accommodations.
  • B. CEDAE
    CEDAE is the state-owned water and sewage utility company responsible for supplying and treating water for much of Rio de Janeiro, Brazil.
  • C. CACD
    CACD is the commonly used abbreviation for the United States District Court for the Central District of California, a federal trial court serving the central region of the state.
  • D. CAIDAS
    CAIDAS is a research center focused on advancing artificial intelligence and data science through interdisciplinary collaboration and innovation.
  • E. CADE
    CADE is a leading international conference focused on research and advances in automated reasoning and automated theorem proving.
  • 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_69d6ab6d8a4081908636601e69ddf262 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93fb8d6c081909e8bbbd52c73f29c completed April 10, 2026, 6:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62ac3c9f081909cd55f966ab6b465 completed May 2, 2026, 4:48 p.m.
NEDg Description generation batch_69f62c57a26081908d6903906f6e04f0 completed May 2, 2026, 4:54 p.m.
NED2 Entity disambiguation (via description) batch_69f62d07d3148190a45542c8d43a7077 completed May 2, 2026, 4:57 p.m.
Created at: April 8, 2026, 9:54 p.m.