Triple

T266606
Position Surface form Disambiguated ID Type / Status
Subject Alliance for Affordable Internet E5743 entity
Predicate shortName P43 FINISHED
Object A4AI
A4AI is a global coalition of governments, companies, and civil society organizations working to make broadband internet more affordable and accessible in developing countries.
 E34406 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: A4AI | Statement: [Alliance for Affordable Internet, shortName, A4AI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: A4AI
Context triple: [Alliance for Affordable Internet, shortName, A4AI]
  • A. Element AI
    Element AI was a Montreal-based artificial intelligence company and research lab known for developing enterprise AI solutions and advancing deep learning research.
  • B. AIST
    AIST is a professional association that supports the global iron and steel industry through technology advancement, education, and networking among industry professionals.
  • C. xAI
    xAI is an artificial intelligence company focused on developing advanced AI systems, founded and led by entrepreneur Elon Musk.
  • D. GPT-4
    GPT-4 is a large multimodal language model known for its advanced reasoning, comprehension, and generation capabilities across text and images.
  • E. AAR
    AAR is the American Association of Railroads' wheel arrangement classification system commonly used to describe locomotive axle configurations in North America.
  • 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: A4AI
Triple: [Alliance for Affordable Internet, shortName, A4AI]
Generated description
A4AI is a global coalition of governments, companies, and civil society organizations working to make broadband internet more affordable and accessible in developing countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: A4AI
Target entity description: A4AI is a global coalition of governments, companies, and civil society organizations working to make broadband internet more affordable and accessible in developing countries.
  • A. Element AI
    Element AI was a Montreal-based artificial intelligence company and research lab known for developing enterprise AI solutions and advancing deep learning research.
  • B. AIST
    AIST is a professional association that supports the global iron and steel industry through technology advancement, education, and networking among industry professionals.
  • C. xAI
    xAI is an artificial intelligence company focused on developing advanced AI systems, founded and led by entrepreneur Elon Musk.
  • D. GPT-4
    GPT-4 is a large multimodal language model known for its advanced reasoning, comprehension, and generation capabilities across text and images.
  • E. AAR
    AAR is the American Association of Railroads' wheel arrangement classification system commonly used to describe locomotive axle configurations in North America.
  • 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_69a2587daeb081909591b9d30f80a271 completed Feb. 28, 2026, 2:52 a.m.
NER Named-entity recognition batch_69a25d90bab48190b3ef97a451653b7f completed Feb. 28, 2026, 3:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69a389af49f08190991cc16264a2c2c4 completed March 1, 2026, 12:34 a.m.
NEDg Description generation batch_69a38a0114b481908c9363e926b4b3ae completed March 1, 2026, 12:36 a.m.
NED2 Entity disambiguation (via description) batch_69a38a699a6081908c167ce9ad55a660 completed March 1, 2026, 12:38 a.m.
Created at: Feb. 28, 2026, 2:56 a.m.