Triple

T15776621
Position Surface form Disambiguated ID Type / Status
Subject National University of Uzbekistan E382507 entity
Predicate shortName P43 FINISHED
Object NUUz
NUUz is the commonly used abbreviation for the National University of Uzbekistan, one of the country’s leading and oldest higher education institutions.
 E1176338 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: NUUz | Statement: [National University of Uzbekistan, shortName, NUUz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: NUUz
Context triple: [National University of Uzbekistan, shortName, NUUz]
  • 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. Uz
    Uz is a minor biblical figure mentioned in the Book of Genesis as one of the early descendants in Abraham’s extended family line.
  • C. Nue
    Nue is a studio album by Belgian-Canadian singer Lara Fabian that showcases her emotive pop style and powerful vocal performances.
  • D. Uzda
    Uzda is a small town in present-day Belarus, historically home to a significant Jewish community.
  • E. Uzita
    Uzita was a Native American chiefdom or village in present-day Florida that played a notable role in early Spanish exploration of the region.
  • 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: NUUz
Triple: [National University of Uzbekistan, shortName, NUUz]
Generated description
NUUz is the commonly used abbreviation for the National University of Uzbekistan, one of the country’s leading and oldest higher education institutions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: NUUz
Target entity description: NUUz is the commonly used abbreviation for the National University of Uzbekistan, one of the country’s leading and oldest higher education institutions.
  • 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. Uz
    Uz is a minor biblical figure mentioned in the Book of Genesis as one of the early descendants in Abraham’s extended family line.
  • C. Nue
    Nue is a studio album by Belgian-Canadian singer Lara Fabian that showcases her emotive pop style and powerful vocal performances.
  • D. Uzda
    Uzda is a small town in present-day Belarus, historically home to a significant Jewish community.
  • E. Uzita
    Uzita was a Native American chiefdom or village in present-day Florida that played a notable role in early Spanish exploration of the region.
  • 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_69d86da09a10819082fe9797b23e4664 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e05199cd8881909462462cec34d35a completed April 16, 2026, 3:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff909b467c819097ee87f51d2001da completed May 9, 2026, 7:52 p.m.
NEDg Description generation batch_69ff9277dc2881908fe0cd70e3d61f3f completed May 9, 2026, 8 p.m.
NED2 Entity disambiguation (via description) batch_69ff93745f508190927b79a5debead12 completed May 9, 2026, 8:05 p.m.
Created at: April 10, 2026, 4:47 a.m.