Triple

T21167091
Position Surface form Disambiguated ID Type / Status
Subject Universidad Ricardo Palma E521593 entity
Predicate shortName P43 FINISHED
Object URP
URP is the commonly used abbreviation for Universidad Ricardo Palma, a private university in Lima, Peru.
 E1470260 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: URP | Statement: [Universidad Ricardo Palma, shortName, URP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: URP
Context triple: [Universidad Ricardo Palma, shortName, URP]
  • A. URP
    URP is a Scriptable Render Pipeline in the Unity game engine designed to provide optimized, cross-platform graphics with a focus on performance and scalability.
  • B. URV
    URV is the commonly used abbreviation for Rovira i Virgili University, a public university based in Tarragona, Catalonia, Spain.
  • C. URW
    URW is the stock ticker symbol for Unibail-Rodamco-Westfield, a major European commercial real estate company specializing in shopping centers and mixed-use properties.
  • D. UR
    UR is the vehicle registration code used on license plates for vehicles registered in the Swiss canton of Uri.
  • E. UR
    UR is the commonly used abbreviation for the University of Redlands, a private liberal arts university in Redlands, California.
  • 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: URP
Triple: [Universidad Ricardo Palma, shortName, URP]
Generated description
URP is the commonly used abbreviation for Universidad Ricardo Palma, a private university in Lima, Peru.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: URP
Target entity description: URP is the commonly used abbreviation for Universidad Ricardo Palma, a private university in Lima, Peru.
  • A. URP
    URP is a Scriptable Render Pipeline in the Unity game engine designed to provide optimized, cross-platform graphics with a focus on performance and scalability.
  • B. URV
    URV is the commonly used abbreviation for Rovira i Virgili University, a public university based in Tarragona, Catalonia, Spain.
  • C. URW
    URW is the stock ticker symbol for Unibail-Rodamco-Westfield, a major European commercial real estate company specializing in shopping centers and mixed-use properties.
  • D. UR
    UR is the vehicle registration code used on license plates for vehicles registered in the Swiss canton of Uri.
  • E. UR
    UR is the commonly used abbreviation for the University of Redlands, a private liberal arts university in Redlands, California.
  • 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_69e0b50e30748190b186824a206d39b9 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7270fce708190a5715b55b406dd4e completed April 21, 2026, 7:28 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09756f7c248190ad324d3e3bcb9999 completed May 17, 2026, 7:59 a.m.
NEDg Description generation batch_6a097624dae881909408db5a6ca92f85 completed May 17, 2026, 8:02 a.m.
NED2 Entity disambiguation (via description) batch_6a09779306208190bbfee4ca6cb705e8 completed May 17, 2026, 8:08 a.m.
Created at: April 16, 2026, 3 p.m.