Triple

T3562083
Position Surface form Disambiguated ID Type / Status
Subject University of Valladolid E75360 entity
Predicate hasAbbreviation P43 FINISHED
Object UVa
UVa is the commonly used abbreviation for the historic Spanish public institution the University of Valladolid.
 E369128 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: UVa | Statement: [University of Valladolid, hasAbbreviation, UVa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: UVa
Context triple: [University of Valladolid, hasAbbreviation, UVa]
  • A. UVA
    UVA is the University of Virginia, a major public research university in Charlottesville known for its strong academics and NCAA Division I athletic programs.
  • B. ICPC
    ICPC is a standardized coding system used worldwide to classify patient data and clinical activity in primary care settings.
  • C. UCA
    UCA is the Unicode Collation Algorithm, a Unicode standard that defines a language-independent method for ordering and comparing Unicode text.
  • D. UoC
    UoC is a major public research university in Cologne, Germany, known for its broad range of academic disciplines and large student population.
  • E. UPV
    UPV is the commonly used acronym for the Polytechnic University of Valencia, a major Spanish public technical university known for its engineering and technology programs.
  • 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: UVa
Triple: [University of Valladolid, hasAbbreviation, UVa]
Generated description
UVa is the commonly used abbreviation for the historic Spanish public institution the University of Valladolid.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: UVa
Target entity description: UVa is the commonly used abbreviation for the historic Spanish public institution the University of Valladolid.
  • A. UVA
    UVA is the University of Virginia, a major public research university in Charlottesville known for its strong academics and NCAA Division I athletic programs.
  • B. ICPC
    ICPC is a standardized coding system used worldwide to classify patient data and clinical activity in primary care settings.
  • C. UCA
    UCA is the Unicode Collation Algorithm, a Unicode standard that defines a language-independent method for ordering and comparing Unicode text.
  • D. UoC
    UoC is a major public research university in Cologne, Germany, known for its broad range of academic disciplines and large student population.
  • E. UPV
    UPV is the commonly used acronym for the Polytechnic University of Valencia, a major Spanish public technical university known for its engineering and technology programs.
  • 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_69ad85d45090819086f34fb85d850a1e completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc08bdde88190915d2f6ddf26e00e completed March 8, 2026, 6:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3bba21960819094676de7c4740fd9 completed March 13, 2026, 7:24 a.m.
NEDg Description generation batch_69b3bf69741481909e3d5ed71bb0e026 completed March 13, 2026, 7:40 a.m.
NED2 Entity disambiguation (via description) batch_69b3f299cfd08190948e602e8efab213 completed March 13, 2026, 11:18 a.m.
Created at: March 8, 2026, 3:21 p.m.