Triple

T7920938
Position Surface form Disambiguated ID Type / Status
Subject Universal Render Pipeline E183941 entity
Predicate abbreviation P43 FINISHED
Object 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.
 E697925 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: [Universal Render Pipeline, abbreviation, URP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: URP
Context triple: [Universal Render Pipeline, abbreviation, URP]
  • A. 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.
  • B. UR
    UR is the commonly used abbreviation for the University of Redlands, a private liberal arts university in Redlands, California.
  • C. URS
    URS was the FIFA country code used to represent the Soviet Union national football team in international competitions.
  • D. URM
    URM is the National Rail station code for Urmston railway station in Greater Manchester, England.
  • E. URU
    URU is the FIFA country code used to represent the Uruguay national football team in international competitions and rankings.
  • 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: [Universal Render Pipeline, abbreviation, URP]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: URP
Target entity description: 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.
  • A. 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.
  • B. UR
    UR is the commonly used abbreviation for the University of Redlands, a private liberal arts university in Redlands, California.
  • C. URS
    URS was the FIFA country code used to represent the Soviet Union national football team in international competitions.
  • D. URM
    URM is the National Rail station code for Urmston railway station in Greater Manchester, England.
  • E. URU
    URU is the FIFA country code used to represent the Uruguay national football team in international competitions and rankings.
  • 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_69ca828efbe48190bd48482650182e79 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3a9360f881908ca2433d0623315b completed March 31, 2026, 3:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5beea7988190972f7d02881d98f6 completed March 31, 2026, 5:30 a.m.
NEDg Description generation batch_69cb5f222c808190b9ef39896f149278 completed March 31, 2026, 5:44 a.m.
NED2 Entity disambiguation (via description) batch_69cb76c896c08190a67a5b572436f2d9 completed March 31, 2026, 7:24 a.m.
Created at: March 30, 2026, 5:06 p.m.