Triple

T857302
Position Surface form Disambiguated ID Type / Status
Subject University of Turin E18519 entity
Predicate hasDepartment P35 FINISHED
Object Department of Economics and Statistics, University of Turin
The Department of Economics and Statistics at the University of Turin is an academic unit focused on research and higher education in economics, statistics, and related quantitative social sciences.
E18519 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: Department of Economics and Statistics, University of Turin | Statement: [University of Turin, hasDepartment, Department of Economics and Statistics, University of Turin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Department of Economics and Statistics, University of Turin
Context triple: [University of Turin, hasDepartment, Department of Economics and Statistics, University of Turin]
  • A. University of Trento
    The University of Trento is a public Italian university known for its strong research output and high international rankings, particularly in social sciences, engineering, and information technology.
  • B. Institute of Statistical Studies and Research
    The Institute of Statistical Studies and Research is a specialized academic and research center at Cairo University focused on advanced statistics, data analysis, and related quantitative disciplines.
  • C. Italian Ministry of Universities and Research
    The Italian Ministry of Universities and Research is a government department responsible for national policy, funding, and oversight of higher education and scientific research in Italy.
  • D. University of Turin
    The University of Turin is one of Italy’s oldest and most prestigious public universities, renowned for its contributions to the humanities, sciences, and law.
  • E. Roma Tre University
    Roma Tre University is a public research university in Rome, Italy, known for its modern campus and multidisciplinary academic 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: Department of Economics and Statistics, University of Turin
Triple: [University of Turin, hasDepartment, Department of Economics and Statistics, University of Turin]
Generated description
The Department of Economics and Statistics at the University of Turin is an academic unit focused on research and higher education in economics, statistics, and related quantitative social sciences.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Department of Economics and Statistics, University of Turin
Target entity description: The Department of Economics and Statistics at the University of Turin is an academic unit focused on research and higher education in economics, statistics, and related quantitative social sciences.
  • A. University of Trento
    The University of Trento is a public Italian university known for its strong research output and high international rankings, particularly in social sciences, engineering, and information technology.
  • B. Institute of Statistical Studies and Research
    The Institute of Statistical Studies and Research is a specialized academic and research center at Cairo University focused on advanced statistics, data analysis, and related quantitative disciplines.
  • C. Italian Ministry of Universities and Research
    The Italian Ministry of Universities and Research is a government department responsible for national policy, funding, and oversight of higher education and scientific research in Italy.
  • D. University of Turin chosen
    The University of Turin is one of Italy’s oldest and most prestigious public universities, renowned for its contributions to the humanities, sciences, and law.
  • E. Roma Tre University
    Roma Tre University is a public research university in Rome, Italy, known for its modern campus and multidisciplinary academic programs.
  • F. None of above.

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_69a4938bdd3c8190a954a3c11844d9cf completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ac4d47508190b48d944aa2d881bf completed March 1, 2026, 9:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7a3c1ee4481909d5713122e5ad856 completed March 4, 2026, 3:15 a.m.
NEDg Description generation batch_69a7a5288338819089638d5c848735dd completed March 4, 2026, 3:21 a.m.
NED2 Entity disambiguation (via description) batch_69a7a63205308190b55b76116c0d5e7c completed March 4, 2026, 3:25 a.m.
Created at: March 1, 2026, 7:39 p.m.