Triple

T13487995
Position Surface form Disambiguated ID Type / Status
Subject University of Primorska E318555 entity
Predicate abbreviation P43 FINISHED
Object UP
UP is the commonly used abbreviation for the University of Primorska, a public university based in the coastal region of Slovenia.
 E1043631 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: UP | Statement: [University of Primorska, abbreviation, UP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: UP
Context triple: [University of Primorska, abbreviation, UP]
  • A. UP
    UP is the standard reporting mark used to identify rail equipment owned or operated by the Union Pacific Railroad in North America.
  • B. UP
    UP is a leading South African public research university located in Pretoria, known for its comprehensive range of academic programs and strong research output.
  • C. UP
    UP is the commonly used abbreviation for the University of Pristina, a major public university in Kosovo.
  • D. UP
    UP was a major South African political party that dominated the country’s politics for much of the mid-20th century before being displaced by the National Party.
  • E. UP
    UP is the Indian state of Uttar Pradesh, the country’s most populous state and a major political and cultural center in northern India.
  • 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: UP
Triple: [University of Primorska, abbreviation, UP]
Generated description
UP is the commonly used abbreviation for the University of Primorska, a public university based in the coastal region of Slovenia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: UP
Target entity description: UP is the commonly used abbreviation for the University of Primorska, a public university based in the coastal region of Slovenia.
  • A. UP
    UP is the standard reporting mark used to identify rail equipment owned or operated by the Union Pacific Railroad in North America.
  • B. UP
    UP is a leading South African public research university located in Pretoria, known for its comprehensive range of academic programs and strong research output.
  • C. UP
    UP is the Indian state of Uttar Pradesh, the country’s most populous state and a major political and cultural center in northern India.
  • D. UP
    UP is the commonly used abbreviation for the University of Pristina, a major public university in Kosovo.
  • E. UP
    UP was a major South African political party that dominated the country’s politics for much of the mid-20th century before being displaced by the National Party.
  • 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_69d806b6bfec819089222715b2e86c8e completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaf3b9b488190bb4e11424ff599c8 completed April 12, 2026, 2:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69f74638e2088190a126791f60b541c7 completed May 3, 2026, 12:57 p.m.
NEDg Description generation batch_69f74cb6cae881909563983a38311db7 completed May 3, 2026, 1:25 p.m.
NED2 Entity disambiguation (via description) batch_69f74d5389f08190826f0e550c8bb6c2 completed May 3, 2026, 1:27 p.m.
Created at: April 9, 2026, 9:42 p.m.