Triple

T21951049
Position Surface form Disambiguated ID Type / Status
Subject Department of Economics and Management, University of Ferrara E542068 entity
Predicate abbreviation P43 FINISHED
Object DEM
DEM is the Department of Economics and Management at the University of Ferrara, focusing on teaching and research in economic and managerial disciplines.
 E1509195 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: DEM | Statement: [Department of Economics and Management, University of Ferrara, abbreviation, DEM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DEM
Context triple: [Department of Economics and Management, University of Ferrara, abbreviation, DEM]
  • A. DEM
    DEM is the former official currency code for the Deutsche Mark, which was Germany’s national currency before the adoption of the euro.
  • B. DE-EM
    DE-EM is the ISO 3166-2 subdivision code assigned to the Emmendingen district in the German state of Baden-Württemberg.
  • C. TDEM
    TDEM is the Texas state agency responsible for coordinating emergency management, disaster response, and preparedness efforts across the state.
  • D. DAL
    DAL is the standard three-letter abbreviation used for the NHL team the Dallas Stars.
  • E. DAL
    DAL is the IATA airport code for Dallas Love Field, a major airport serving the Dallas, Texas area.
  • 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: DEM
Triple: [Department of Economics and Management, University of Ferrara, abbreviation, DEM]
Generated description
DEM is the Department of Economics and Management at the University of Ferrara, focusing on teaching and research in economic and managerial disciplines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DEM
Target entity description: DEM is the Department of Economics and Management at the University of Ferrara, focusing on teaching and research in economic and managerial disciplines.
  • A. DEM
    DEM is the former official currency code for the Deutsche Mark, which was Germany’s national currency before the adoption of the euro.
  • B. DE-EM
    DE-EM is the ISO 3166-2 subdivision code assigned to the Emmendingen district in the German state of Baden-Württemberg.
  • C. TDEM
    TDEM is the Texas state agency responsible for coordinating emergency management, disaster response, and preparedness efforts across the state.
  • D. DAL
    DAL is the IATA airport code for Dallas Love Field, a major airport serving the Dallas, Texas area.
  • E. DAL
    DAL is the standard three-letter abbreviation used for the NHL team the Dallas Stars.
  • 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_69e0c47ef0e48190a50e1bcc43f4b3fd completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f1243bb9c88190a3774b9fa2af9871 completed April 28, 2026, 9:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a60f5f54c8190885cd1eba4b46071 completed May 18, 2026, 12:44 a.m.
NEDg Description generation batch_6a0a618e55c4819099ab070410e4f1a9 completed May 18, 2026, 12:47 a.m.
NED2 Entity disambiguation (via description) batch_6a0a621fe47081908575a17b9895395a completed May 18, 2026, 12:49 a.m.
Created at: April 16, 2026, 7:58 p.m.