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 NE NERFINISHED

How this triple was built (3 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.
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 (2 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.
Created at: April 16, 2026, 7:58 p.m.