Triple

T6472647
Position Surface form Disambiguated ID Type / Status
Subject Mario Draghi E145991 entity
Predicate employer P7 FINISHED
Object Bank of Italy E12921 NE FINISHED

How this triple was built (2 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: Bank of Italy | Statement: [Mario Draghi, employer, Bank of Italy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bank of Italy
Context triple: [Mario Draghi, employer, Bank of Italy]
  • A. Banca d’Italia chosen
    Banca d’Italia is Italy’s central bank, responsible for monetary policy, financial stability, and banking supervision within the country and as part of the Eurosystem.
  • B. Banca IMI
    Banca IMI is the investment banking and capital markets arm of the Italian banking group Intesa Sanpaolo.
  • C. Intesa Sanpaolo
    Intesa Sanpaolo is one of Italy’s largest banking groups, offering retail and corporate banking, asset management, and financial services across Europe and internationally.
  • D. Italian Banking Association
    The Italian Banking Association is the main trade association representing and coordinating banks and financial institutions operating in Italy.
  • E. UniCredit
    UniCredit is a major Italian global banking and financial services group headquartered in Milan, with a strong presence across Europe.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c008fec7408190af7b146dc63d9750 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c06a3188488190a1b7452ede91ba5e completed March 22, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6539fe1e08190ae0004ed2113e319 completed March 27, 2026, 9:53 a.m.
Created at: March 22, 2026, 4:50 p.m.