Triple

T2956054
Position Surface form Disambiguated ID Type / Status
Subject Institute of Language and Literature of the Academy of Sciences of Turkmenistan E79933 entity
Predicate partOf P40 FINISHED
Object Academy of Sciences of Turkmenistan
The Academy of Sciences of Turkmenistan is the national scientific institution responsible for coordinating and advancing research and scholarly activities across various disciplines in Turkmenistan.
E313457 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: Academy of Sciences of Turkmenistan | Statement: [Institute of Language and Literature of the Academy of Sciences of Turkmenistan, partOf, Academy of Sciences of Turkmenistan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Academy of Sciences of Turkmenistan
Context triple: [Institute of Language and Literature of the Academy of Sciences of Turkmenistan, partOf, Academy of Sciences of Turkmenistan]
  • A. Azerbaijan National Academy of Sciences
    The Azerbaijan National Academy of Sciences is the country’s leading state research institution, overseeing and coordinating scientific activity and academic scholarship across Azerbaijan.
  • B. Academy of Sciences of Afghanistan
    The Academy of Sciences of Afghanistan is the country’s principal scholarly institution responsible for research, preservation, and standardization of Afghan languages and academic disciplines.
  • C. Institute of Language and Literature of the Academy of Sciences of Turkmenistan
    The Institute of Language and Literature of the Academy of Sciences of Turkmenistan is a national scholarly institution responsible for researching, standardizing, and promoting the Turkmen language and its literary heritage.
  • D. Tatarstan Academy of Sciences
    The Tatarstan Academy of Sciences is a leading scholarly institution in the Republic of Tatarstan that oversees research, standardization, and cultural preservation related to the Tatar language and other scientific fields.
  • E. 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.
  • 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: Academy of Sciences of Turkmenistan
Triple: [Institute of Language and Literature of the Academy of Sciences of Turkmenistan, partOf, Academy of Sciences of Turkmenistan]
Generated description
The Academy of Sciences of Turkmenistan is the national scientific institution responsible for coordinating and advancing research and scholarly activities across various disciplines in Turkmenistan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Academy of Sciences of Turkmenistan
Target entity description: The Academy of Sciences of Turkmenistan is the national scientific institution responsible for coordinating and advancing research and scholarly activities across various disciplines in Turkmenistan.
  • A. Azerbaijan National Academy of Sciences
    The Azerbaijan National Academy of Sciences is the country’s leading state research institution, overseeing and coordinating scientific activity and academic scholarship across Azerbaijan.
  • B. Academy of Sciences of Afghanistan
    The Academy of Sciences of Afghanistan is the country’s principal scholarly institution responsible for research, preservation, and standardization of Afghan languages and academic disciplines.
  • C. Institute of Language and Literature of the Academy of Sciences of Turkmenistan
    The Institute of Language and Literature of the Academy of Sciences of Turkmenistan is a national scholarly institution responsible for researching, standardizing, and promoting the Turkmen language and its literary heritage.
  • D. Tatarstan Academy of Sciences
    The Tatarstan Academy of Sciences is a leading scholarly institution in the Republic of Tatarstan that oversees research, standardization, and cultural preservation related to the Tatar language and other scientific fields.
  • E. 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.
  • 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_69ad8b1276588190a374a0b12e0f7bdf completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad992998f08190ac9428310983172e completed March 8, 2026, 3:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69b0fc8a10848190b8eec482252eb76b completed March 11, 2026, 5:24 a.m.
NEDg Description generation batch_69b0fd407bd08190b62788e8d1cdd205 completed March 11, 2026, 5:27 a.m.
NED2 Entity disambiguation (via description) batch_69b0fd91541c8190a481b55eb9b0ac35 completed March 11, 2026, 5:28 a.m.
Created at: March 8, 2026, 2:57 p.m.