Triple

T4145628
Position Surface form Disambiguated ID Type / Status
Subject World Association of Zoos and Aquariums E89374 entity
Predicate abbreviation P43 FINISHED
Object WAZA
WAZA is the global organization that represents and coordinates zoos and aquariums worldwide to promote conservation, animal welfare, and environmental education.
 E415309 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: WAZA | Statement: [World Association of Zoos and Aquariums, abbreviation, WAZA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: WAZA
Context triple: [World Association of Zoos and Aquariums, abbreviation, WAZA]
  • A. WJA
    WJA is the ICAO airline designator used for WestJet, a major Canadian low-cost carrier.
  • B. W&A
    W&A is the commonly used abbreviation for the Western and Atlantic Railroad, a historic rail line in the southeastern United States.
  • C. AZA
    AZA is the ICAO airline designator used to identify Alitalia, the former flag carrier airline of Italy, in international aviation operations.
  • D. AZA
    AZA is the commonly used abbreviation for the Cincinnati Zoo & Botanical Garden, a major zoological park and botanical garden in Cincinnati, Ohio.
  • E. WZ
    WZ is the IATA airline designator assigned to Red Wings Airlines, a Russian passenger carrier.
  • 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: WAZA
Triple: [World Association of Zoos and Aquariums, abbreviation, WAZA]
Generated description
WAZA is the global organization that represents and coordinates zoos and aquariums worldwide to promote conservation, animal welfare, and environmental education.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: WAZA
Target entity description: WAZA is the global organization that represents and coordinates zoos and aquariums worldwide to promote conservation, animal welfare, and environmental education.
  • A. WJA
    WJA is the ICAO airline designator used for WestJet, a major Canadian low-cost carrier.
  • B. W&A
    W&A is the commonly used abbreviation for the Western and Atlantic Railroad, a historic rail line in the southeastern United States.
  • C. AZA
    AZA is the ICAO airline designator used to identify Alitalia, the former flag carrier airline of Italy, in international aviation operations.
  • D. AZA
    AZA is the commonly used abbreviation for the Cincinnati Zoo & Botanical Garden, a major zoological park and botanical garden in Cincinnati, Ohio.
  • E. WZ
    WZ is the IATA airline designator assigned to Red Wings Airlines, a Russian passenger carrier.
  • 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_69aed95785788190ae75bcf0cd1cafdf completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af025e850c819085ec05b9d9b60712 completed March 9, 2026, 5:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69b576d2f1788190847d38a384abbe67 completed March 14, 2026, 2:55 p.m.
NEDg Description generation batch_69b577ef7ed08190aca5f99d6abf1271 completed March 14, 2026, 2:59 p.m.
NED2 Entity disambiguation (via description) batch_69b578538e908190a2c7d9d80ec5ec99 completed March 14, 2026, 3:01 p.m.
Created at: March 9, 2026, 3:43 p.m.