Triple

T23168520
Position Surface form Disambiguated ID Type / Status
Subject Undersecretary to the Presidency of the Council of Ministers of Italy E578777 entity
Predicate levelOfSeniority P92411 FINISHED
Object senior government official LITERAL 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: senior government official | Statement: [Undersecretary to the Presidency of the Council of Ministers of Italy, levelOfSeniority, senior government official]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: levelOfSeniority
Context triple: [Undersecretary to the Presidency of the Council of Ministers of Italy, levelOfSeniority, senior government official]
  • A. typicalSeniorityLevel chosen
    Indicates the usual or most common rank or seniority level associated with an entity in a given context.
  • B. hasSeniorityStatus
    Indicates that one entity holds a particular level or classification of seniority relative to others.
  • C. typeOfExperience
    Indicates that one entity specifies the category or nature of an experience associated with another entity.
  • D. seniorRank
    Indicates that one entity holds a higher or more senior rank or position than another entity.
  • E. hasPermanentSeniority
    Indicates that one entity holds a fixed, enduring precedence or higher rank over another that does not change over time.
  • F. None of above.

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_69e245fc75348190a0288401044c8af8 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18f2e5e208190839ec37de4b974af completed April 29, 2026, 4:55 a.m.
PD Predicate disambiguation batch_69ef89ff76808190808ee4ad9dea776b completed April 27, 2026, 4:08 p.m.
Created at: April 17, 2026, 4:03 p.m.