Triple

T7741628
Position Surface form Disambiguated ID Type / Status
Subject University of Ostrava E175522 entity
Predicate abbreviation P43 FINISHED
Object OU
OU is the commonly used abbreviation for the University of Ostrava, a public university located in Ostrava, Czech Republic.
E686452 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: OU | Statement: [University of Ostrava, abbreviation, OU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: OU
Context triple: [University of Ostrava, abbreviation, OU]
  • A. OU
    OU is a major public research university located in Norman, Oklahoma, known for its strong academic programs and prominent athletics, especially college football.
  • B. OU
    OU is the IATA airline designator assigned to Croatia Airlines, the national flag carrier of Croatia.
  • C. OUS
    OUS is the abbreviation for the Oregon University System, the former governing body for public universities in the U.S. state of Oregon.
  • D. UA
    UA is the commonly used abbreviation for the University of Angers, a French public university located in Angers.
  • E. UA
    UA is the stock ticker symbol for Under Armour, Inc., an American sportswear and athletic apparel company.
  • 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: OU
Triple: [University of Ostrava, abbreviation, OU]
Generated description
OU is the commonly used abbreviation for the University of Ostrava, a public university located in Ostrava, Czech Republic.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: OU
Target entity description: OU is the commonly used abbreviation for the University of Ostrava, a public university located in Ostrava, Czech Republic.
  • A. OU
    OU is a major public research university located in Norman, Oklahoma, known for its strong academic programs and prominent athletics, especially college football.
  • B. OU
    OU is the IATA airline designator assigned to Croatia Airlines, the national flag carrier of Croatia.
  • C. OUS
    OUS is the abbreviation for the Oregon University System, the former governing body for public universities in the U.S. state of Oregon.
  • 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_69c6995f9c60819092e386192bd63c6f completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c7035df9348190ad3f3d845207bf4d completed March 27, 2026, 10:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8be454e708190b410dada4f4f1e97 completed March 29, 2026, 5:53 a.m.
NEDg Description generation batch_69c8bface14c8190a78d7ed43316bffd completed March 29, 2026, 5:59 a.m.
NED2 Entity disambiguation (via description) batch_69c8c02e7a548190b2c5ad84e4c3f1fb completed March 29, 2026, 6:01 a.m.
Created at: March 27, 2026, 4:07 p.m.