Triple

T19155800
Position Surface form Disambiguated ID Type / Status
Subject Madam Deputy Prime Minister E468923 entity
Predicate correspondsToOfficeHolderTitle P85416 FINISHED
Object Deputy Prime Minister of Ukraine 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: Deputy Prime Minister of Ukraine | Statement: [Madam Deputy Prime Minister, correspondsToOfficeHolderTitle, Deputy Prime Minister of Ukraine]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: correspondsToOfficeHolderTitle
Context triple: [Madam Deputy Prime Minister, correspondsToOfficeHolderTitle, Deputy Prime Minister of Ukraine]
  • A. officeHolderTitle
    Indicates the official position or title held by a person in an office or role.
  • B. residenceOfOfficeHolderTitle
    Indicates the place where a person holding a particular official title resides while in that role.
  • C. typicalOfficeHolderTitle chosen
    Indicates the standard or commonly used title typically held by the office holder of a given position or role.
  • D. refersToOfficeHolder
    Indicates that one entity is being used to denote, mention, or point specifically to a person who holds a particular office or official position.
  • E. currentOfficeHolderTitle
    Indicates the official title or position name held by the person who currently occupies a given office or role.
  • 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_69d8dd084ff48190ac0f8c46ee722629 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5eeb914248190a92dc5f30cbc8fcc completed April 20, 2026, 9:15 a.m.
PD Predicate disambiguation batch_69e4b9b475d88190a8c15e8eb01dbfef completed April 19, 2026, 11:17 a.m.
Created at: April 10, 2026, 12:06 p.m.