Triple

T18465104
Position Surface form Disambiguated ID Type / Status
Subject Donetsk National University E451138 entity
Predicate shortName P43 FINISHED
Object DonNU
DonNU is a major Ukrainian public university historically based in Donetsk, known for its wide range of academic programs and research activities.
 E1326694 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: DonNU | Statement: [Donetsk National University, shortName, DonNU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DonNU
Context triple: [Donetsk National University, shortName, DonNU]
  • A. Nu
    Nu is the given name of U Nu, the first Prime Minister of independent Burma (now Myanmar) and a prominent mid-20th-century political leader.
  • B. Du
    Du is a Chinese surname historically borne by notable figures such as the Tang dynasty poet Du Fu.
  • C. Du
    Du is a town and administrative settlement located within Jos South Local Government Area in Plateau State, Nigeria.
  • D. Den
    Den is a central fictional character from the British soap opera "EastEnders," known for his complex relationships and dramatic storylines in the early years of the show.
  • E. Den
    Den is a Japanese surname borne by various notable figures in politics, industry, and the arts.
  • 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: DonNU
Triple: [Donetsk National University, shortName, DonNU]
Generated description
DonNU is a major Ukrainian public university historically based in Donetsk, known for its wide range of academic programs and research activities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DonNU
Target entity description: DonNU is a major Ukrainian public university historically based in Donetsk, known for its wide range of academic programs and research activities.
  • A. Nu
    Nu is the given name of U Nu, the first Prime Minister of independent Burma (now Myanmar) and a prominent mid-20th-century political leader.
  • B. Du
    Du is a Chinese surname historically borne by notable figures such as the Tang dynasty poet Du Fu.
  • C. Du
    Du is a town and administrative settlement located within Jos South Local Government Area in Plateau State, Nigeria.
  • D. Den
    Den is a central fictional character from the British soap opera "EastEnders," known for his complex relationships and dramatic storylines in the early years of the show.
  • E. Den
    Den is a Japanese surname borne by various notable figures in politics, industry, and the arts.
  • 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_69d8d38465a0819099b9b42d2a662ac1 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e52a82920081909b2b89125db5982a completed April 19, 2026, 7:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a043f24ff448190b1b54ff5209a7b01 completed May 13, 2026, 9:06 a.m.
NEDg Description generation batch_6a0465ffc3e48190b2e69cf482e49577 completed May 13, 2026, 11:52 a.m.
NED2 Entity disambiguation (via description) batch_6a04669583fc8190b32ce936b8bb0f63 completed May 13, 2026, 11:55 a.m.
Created at: April 10, 2026, 11:34 a.m.