Triple

T3509258
Position Surface form Disambiguated ID Type / Status
Subject University of Arkansas E74155 entity
Predicate hasNickname P39 FINISHED
Object UA
UA is a common abbreviation for the University of Arkansas, a public research university known for its flagship campus in Fayetteville.
E362550 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: UA | Statement: [University of Arkansas, hasNickname, UA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UA
Context triple: [University of Arkansas, hasNickname, UA]
  • A. UA
    UA is a major public research university located in Tucson, Arizona, known for its strong programs in astronomy, space sciences, and environmental studies.
  • B. UA
    UA is the two-letter IATA airline designator used worldwide to identify United Airlines on tickets, schedules, and flight information.
  • C. UA
    UA is a major public research university located in Tuscaloosa, Alabama, known for its strong academic programs and prominent Crimson Tide athletics.
  • D. UA
    UA is the two-letter ISO 3166-1 alpha-2 country code assigned to Ukraine for international standardization and identification purposes.
  • E. UA
    UA is the commonly used abbreviation for the University of Angers, a French public university located in Angers.
  • 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: UA
Triple: [University of Arkansas, hasNickname, UA]
Generated description
UA is a common abbreviation for the University of Arkansas, a public research university known for its flagship campus in Fayetteville.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: UA
Target entity description: UA is a common abbreviation for the University of Arkansas, a public research university known for its flagship campus in Fayetteville.
  • A. UA
    UA is the two-letter IATA airline designator used worldwide to identify United Airlines on tickets, schedules, and flight information.
  • B. UA
    UA is a major public research university located in Tuscaloosa, Alabama, known for its strong academic programs and prominent Crimson Tide athletics.
  • C. UA
    UA is the two-letter ISO 3166-1 alpha-2 country code assigned to Ukraine for international standardization and identification purposes.
  • D. UA
    UA is a major public research university located in Tucson, Arizona, known for its strong programs in astronomy, space sciences, and environmental studies.
  • E. UA
    UA is the commonly used abbreviation for the University of Angers, a French public university located in Angers.
  • 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_69ad85ce7a9c81909ddc5cf0cb67a6e3 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbc0cc394819087a9b598023f4f93 completed March 8, 2026, 6:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69b373e3cd808190807d4acae2942a9d completed March 13, 2026, 2:18 a.m.
NEDg Description generation batch_69b3746f1de4819091c5bcbf8a988ef1 completed March 13, 2026, 2:20 a.m.
NED2 Entity disambiguation (via description) batch_69b374f7274481909569a05060e6822c completed March 13, 2026, 2:22 a.m.
Created at: March 8, 2026, 3:18 p.m.