Triple

T3728523
Position Surface form Disambiguated ID Type / Status
Subject Azerbaijan National Academy of Sciences E79005 entity
Predicate memberOf P10 FINISHED
Object Eurasian Association of Academies of Sciences
The Eurasian Association of Academies of Sciences is a regional organization that brings together national academies of sciences from Eurasian countries to promote scientific collaboration and research cooperation.
E383801 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: Eurasian Association of Academies of Sciences | Statement: [Azerbaijan National Academy of Sciences, memberOf, Eurasian Association of Academies of Sciences]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eurasian Association of Academies of Sciences
Context triple: [Azerbaijan National Academy of Sciences, memberOf, Eurasian Association of Academies of Sciences]
  • A. Eurasian Association of Universities
    The Eurasian Association of Universities is a regional consortium of leading higher education institutions across Eurasia that promotes academic cooperation, research collaboration, and educational integration among its member universities.
  • B. Soviet Academy of Sciences
    The Soviet Academy of Sciences was the USSR’s highest scientific institution, overseeing and coordinating research across disciplines and playing a central role in major projects such as early space exploration.
  • C. European Academy of Sciences and Arts
    The European Academy of Sciences and Arts is a transnational, interdisciplinary learned society that brings together leading scholars, scientists, artists, and public figures from across Europe to promote scientific and cultural exchange and address societal challenges.
  • D. Russian Academy of Sciences
    The Russian Academy of Sciences is Russia’s leading state scientific institution, encompassing a wide network of research institutes across disciplines such as physics, earth sciences, and mathematics.
  • E. Academy of Sciences for the Developing World
    The Academy of Sciences for the Developing World, now known as The World Academy of Sciences (TWAS), is an international organization that supports scientific excellence and capacity building in developing countries.
  • 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: Eurasian Association of Academies of Sciences
Triple: [Azerbaijan National Academy of Sciences, memberOf, Eurasian Association of Academies of Sciences]
Generated description
The Eurasian Association of Academies of Sciences is a regional organization that brings together national academies of sciences from Eurasian countries to promote scientific collaboration and research cooperation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Eurasian Association of Academies of Sciences
Target entity description: The Eurasian Association of Academies of Sciences is a regional organization that brings together national academies of sciences from Eurasian countries to promote scientific collaboration and research cooperation.
  • A. Eurasian Association of Universities
    The Eurasian Association of Universities is a regional consortium of leading higher education institutions across Eurasia that promotes academic cooperation, research collaboration, and educational integration among its member universities.
  • B. Soviet Academy of Sciences
    The Soviet Academy of Sciences was the USSR’s highest scientific institution, overseeing and coordinating research across disciplines and playing a central role in major projects such as early space exploration.
  • C. European Academy of Sciences and Arts
    The European Academy of Sciences and Arts is a transnational, interdisciplinary learned society that brings together leading scholars, scientists, artists, and public figures from across Europe to promote scientific and cultural exchange and address societal challenges.
  • D. Russian Academy of Sciences
    The Russian Academy of Sciences is Russia’s leading state scientific institution, encompassing a wide network of research institutes across disciplines such as physics, earth sciences, and mathematics.
  • E. Academy of Sciences for the Developing World
    The Academy of Sciences for the Developing World, now known as The World Academy of Sciences (TWAS), is an international organization that supports scientific excellence and capacity building in developing countries.
  • 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_69ad8b0e4650819090ad7cef094285e8 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcaf921bc81908bb347d6b9204670 completed March 8, 2026, 7:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4db13d34881909fa74c682184b797 completed March 14, 2026, 3:50 a.m.
NEDg Description generation batch_69b4dbded2c8819084c26ae2ec1c19b3 completed March 14, 2026, 3:54 a.m.
NED2 Entity disambiguation (via description) batch_69b4dc9b80f8819083074657a32798a4 completed March 14, 2026, 3:57 a.m.
Created at: March 8, 2026, 3:34 p.m.