Triple

T5294418
Position Surface form Disambiguated ID Type / Status
Subject Chinese Arctic and Antarctic Administration E119818 entity
Predicate shortName P43 FINISHED
Object CAA
CAA is the acronym for the Chinese Arctic and Antarctic Administration, the government body responsible for organizing and overseeing China’s polar research and expeditions.
 E508171 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: CAA | Statement: [Chinese Arctic and Antarctic Administration, shortName, CAA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CAA
Context triple: [Chinese Arctic and Antarctic Administration, shortName, CAA]
  • A. CAA
    CAA is the commonly used abbreviation for the U.S. Clean Air Act, a landmark federal law regulating air emissions to protect public health and the environment.
  • B. CAA
    CAA is a leading professional organization in the United States dedicated to advancing the history, practice, and teaching of the visual arts and design.
  • C. CAA
    CAA is a collegiate athletic conference in the United States that sponsors competition in numerous NCAA Division I sports.
  • D. CAA
    CAA is Japan’s national Consumer Affairs Agency responsible for protecting and promoting consumer rights and safety.
  • E. CAA
    CAA is the abbreviation for the Cal Alumni Association, the official alumni organization of the University of California, Berkeley.
  • 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: CAA
Triple: [Chinese Arctic and Antarctic Administration, shortName, CAA]
Generated description
CAA is the acronym for the Chinese Arctic and Antarctic Administration, the government body responsible for organizing and overseeing China’s polar research and expeditions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CAA
Target entity description: CAA is the acronym for the Chinese Arctic and Antarctic Administration, the government body responsible for organizing and overseeing China’s polar research and expeditions.
  • A. CAA
    CAA is the commonly used abbreviation for the U.S. Clean Air Act, a landmark federal law regulating air emissions to protect public health and the environment.
  • B. CAA
    CAA is a leading professional organization in the United States dedicated to advancing the history, practice, and teaching of the visual arts and design.
  • C. CAA
    CAA is a collegiate athletic conference in the United States that sponsors competition in numerous NCAA Division I sports.
  • D. CAA
    CAA is Japan’s national Consumer Affairs Agency responsible for protecting and promoting consumer rights and safety.
  • E. CAA
    CAA is the abbreviation for the Cal Alumni Association, the official alumni organization of the University of California, Berkeley.
  • 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_69bd446f22b88190b6a47fb91c68a3e7 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd84f034f081908027a43120b6e122 completed March 20, 2026, 5:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf06f74a608190bdd52c75777dba5d completed March 21, 2026, 9 p.m.
NEDg Description generation batch_69bf090aa7c88190a66694cec6d6a370 completed March 21, 2026, 9:09 p.m.
NED2 Entity disambiguation (via description) batch_69bf09d3b8148190b79bdf3cb77000b4 completed March 21, 2026, 9:12 p.m.
Created at: March 20, 2026, 1:52 p.m.