Triple

T20249289
Position Surface form Disambiguated ID Type / Status
Subject Urgench State University E498506 entity
Predicate abbreviation P43 FINISHED
Object UrSU
UrSU is a higher education institution located in Urgench, Uzbekistan, offering a range of undergraduate and graduate programs across various disciplines.
E1421182 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: UrSU | Statement: [Urgench State University, abbreviation, UrSU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UrSU
Context triple: [Urgench State University, abbreviation, UrSU]
  • A. URS
    URS was the FIFA country code used to represent the Soviet Union national football team in international competitions.
  • B. U-SU
    U-SU is the student union organization representing and serving university students through advocacy, events, and campus services.
  • C. UR
    UR is the vehicle registration code used on license plates for vehicles registered in the Swiss canton of Uri.
  • D. UR
    UR is the commonly used abbreviation for the University of Redlands, a private liberal arts university in Redlands, California.
  • E. UR
    UR (Utbildningsradion) is Sweden’s public educational broadcasting company, producing and distributing educational radio, TV, and digital content.
  • 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: UrSU
Triple: [Urgench State University, abbreviation, UrSU]
Generated description
UrSU is a higher education institution located in Urgench, Uzbekistan, offering a range of undergraduate and graduate programs across various disciplines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: UrSU
Target entity description: UrSU is a higher education institution located in Urgench, Uzbekistan, offering a range of undergraduate and graduate programs across various disciplines.
  • A. URS
    URS was the FIFA country code used to represent the Soviet Union national football team in international competitions.
  • B. U-SU
    U-SU is the student union organization representing and serving university students through advocacy, events, and campus services.
  • C. UR
    UR is the vehicle registration code used on license plates for vehicles registered in the Swiss canton of Uri.
  • D. UR
    UR is the commonly used abbreviation for the University of Redlands, a private liberal arts university in Redlands, California.
  • E. UR
    UR (Utbildningsradion) is Sweden’s public educational broadcasting company, producing and distributing educational radio, TV, and digital content.
  • 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_69da6274c58c81909c646eabed6f4f30 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e673a699b48190a2073a3bd8851125 completed April 20, 2026, 6:42 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08552409988190978640c4190dccd3 completed May 16, 2026, 11:29 a.m.
NEDg Description generation batch_6a0856ac50e081909c8bc737e4fe6e56 completed May 16, 2026, 11:36 a.m.
NED2 Entity disambiguation (via description) batch_6a085746f2f08190a703a832f5867c7b completed May 16, 2026, 11:38 a.m.
Created at: April 11, 2026, 11:41 p.m.