Triple

T16203713
Position Surface form Disambiguated ID Type / Status
Subject Paris Lodron University of Salzburg E393266 entity
Predicate hasAbbreviation P43 FINISHED
Object PLUS
PLUS is the commonly used abbreviation for the Paris Lodron University of Salzburg, a public university in Salzburg, Austria.
 E1198781 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: PLUS | Statement: [Paris Lodron University of Salzburg, hasAbbreviation, PLUS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: PLUS
Context triple: [Paris Lodron University of Salzburg, hasAbbreviation, PLUS]
  • A. Plus
    Plus is a leading Polish telecommunications operator providing mobile and internet services nationwide.
  • B. PlusPlus
    PlusPlus is a related sister channel to the 1+1 television network, offering its own lineup of entertainment programming.
  • C. Pluss
    Pluss is a music producer known for crafting beats and collaborating with various artists in contemporary hip-hop and related genres.
  • D. UP
    UP is the standard reporting mark used to identify rail equipment owned or operated by the Union Pacific Railroad in North America.
  • 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: PLUS
Triple: [Paris Lodron University of Salzburg, hasAbbreviation, PLUS]
Generated description
PLUS is the commonly used abbreviation for the Paris Lodron University of Salzburg, a public university in Salzburg, Austria.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: PLUS
Target entity description: PLUS is the commonly used abbreviation for the Paris Lodron University of Salzburg, a public university in Salzburg, Austria.
  • A. Plus
    Plus is a leading Polish telecommunications operator providing mobile and internet services nationwide.
  • B. PlusPlus
    PlusPlus is a related sister channel to the 1+1 television network, offering its own lineup of entertainment programming.
  • C. Pluss
    Pluss is a music producer known for crafting beats and collaborating with various artists in contemporary hip-hop and related genres.
  • D. UP
    UP is the standard reporting mark used to identify rail equipment owned or operated by the Union Pacific Railroad in North America.
  • E. UP
    UP is the commonly used abbreviation for the University of Pristina, a major public university in Kosovo.
  • 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_69d87f1f5bd08190bd01cac0d5b9d2ef completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e2270ca18c8190a259992aed4ec072 completed April 17, 2026, 12:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffff14b0988190bb4128b2e02aee32 completed May 10, 2026, 3:44 a.m.
NEDg Description generation batch_6a00003d347481908285b2253fd20ac1 completed May 10, 2026, 3:49 a.m.
NED2 Entity disambiguation (via description) batch_6a0000adc1b08190abbafcabb4ebc079 completed May 10, 2026, 3:51 a.m.
Created at: April 10, 2026, 5:03 a.m.