Triple

T20907748
Position Surface form Disambiguated ID Type / Status
Subject Canadian Association of Zoos and Aquariums E514849 entity
Predicate abbreviation P43 FINISHED
Object CAZA
CAZA is the acronym for the Canadian Association of Zoos and Aquariums, the national body that accredits and represents zoological parks and aquariums across Canada.
 E1456523 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: CAZA | Statement: [Canadian Association of Zoos and Aquariums, abbreviation, CAZA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CAZA
Context triple: [Canadian Association of Zoos and Aquariums, abbreviation, CAZA]
  • A. CAZ
    CAZ is the station code for Ciudad Azteca, a terminal station on Line B of the Mexico City Metro system.
  • B. CAAZ
    CAAZ is the national regulatory body responsible for overseeing and managing civil aviation activities and safety standards in Zimbabwe.
  • C. AZCA
    AZCA is Madrid’s main financial and business district, known for its cluster of skyscrapers, corporate headquarters, and commercial centers.
  • D. Caze
    Caze is an alternative spelling variant of the term "case," typically used in specific names or contexts rather than as standard English.
  • E. Calez
    Calez is a Chicago-based hip-hop artist known for his introspective lyrics and collaborations within the city's independent rap scene.
  • 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: CAZA
Triple: [Canadian Association of Zoos and Aquariums, abbreviation, CAZA]
Generated description
CAZA is the acronym for the Canadian Association of Zoos and Aquariums, the national body that accredits and represents zoological parks and aquariums across Canada.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CAZA
Target entity description: CAZA is the acronym for the Canadian Association of Zoos and Aquariums, the national body that accredits and represents zoological parks and aquariums across Canada.
  • A. CAZ
    CAZ is the station code for Ciudad Azteca, a terminal station on Line B of the Mexico City Metro system.
  • B. CAAZ
    CAAZ is the national regulatory body responsible for overseeing and managing civil aviation activities and safety standards in Zimbabwe.
  • C. AZCA
    AZCA is Madrid’s main financial and business district, known for its cluster of skyscrapers, corporate headquarters, and commercial centers.
  • D. Caze
    Caze is an alternative spelling variant of the term "case," typically used in specific names or contexts rather than as standard English.
  • E. Calez
    Calez is a Chicago-based hip-hop artist known for his introspective lyrics and collaborations within the city's independent rap scene.
  • 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_69e0b4f8a1108190bce3d31331290ced completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6e900ee7881909ab1046b40dca486 completed April 21, 2026, 3:03 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0918da64408190948113dfe2654435 completed May 17, 2026, 1:24 a.m.
NEDg Description generation batch_6a09194f440c8190aac98329720aaeb7 completed May 17, 2026, 1:26 a.m.
NED2 Entity disambiguation (via description) batch_6a091a1871c8819089d522e7d1dd2452 completed May 17, 2026, 1:30 a.m.
Created at: April 16, 2026, 12:47 p.m.