Triple

T15562460
Position Surface form Disambiguated ID Type / Status
Subject Federica Mogherini E371031 entity
Predicate appointedBy P257 FINISHED
Object Matteo Renzi E582448 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: Matteo Renzi | Statement: [Federica Mogherini, appointedBy, Matteo Renzi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Matteo Renzi
Context triple: [Federica Mogherini, appointedBy, Matteo Renzi]
  • A. Matteo Renzi chosen
    Matteo Renzi is an Italian politician who served as Prime Minister of Italy from 2014 to 2016 and was leader of the centre-left Democratic Party.
  • B. Paolo Gentiloni
    Paolo Gentiloni is an Italian politician who has served as Prime Minister of Italy and later as European Commissioner for Economy.
  • C. Enrico Letta
    Enrico Letta is an Italian politician who served as Prime Minister of Italy from 2013 to 2014 and later became leader of the Democratic Party.
  • D. Giuseppe Conte
    Giuseppe Conte is an Italian jurist and politician who served as Prime Minister of Italy from 2018 to 2021, leading two successive coalition governments.
  • E. Mario Monti
    Mario Monti is an Italian economist and former Prime Minister of Italy, known for his leadership during the Eurozone crisis and his role as a European Commissioner.
  • 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_69d85cc6cf40819091f4a5facee1ebe6 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04ddc66448190948280fb0c8d390c completed April 16, 2026, 2:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff456821988190971539b683f6c656 completed May 9, 2026, 2:32 p.m.
Created at: April 10, 2026, 4:09 a.m.