Triple

T10595081
Position Surface form Disambiguated ID Type / Status
Subject Minister of State in the Federal Foreign Office E250089 entity
Predicate hasMultipleOfficeHolders P80509 FINISHED
Object true 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: true | Statement: [Minister of State in the Federal Foreign Office, hasMultipleOfficeHolders, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMultipleOfficeHolders
Context triple: [Minister of State in the Federal Foreign Office, hasMultipleOfficeHolders, true]
  • A. hasListOfOfficeHolders
    Indicates that an entity is associated with a collection or record enumerating the individuals who have held a particular office or position.
  • B. hasHistoricalOfficeHolder
    Indicates that an office, position, or role has been held by a specific person at some point in the past.
  • C. officeHoldersAlsoHeldPosition
    Indicates that an individual who holds one office or position has also held another specified office or position (at some time, possibly earlier or later).
  • D. hasMultipleIncumbents chosen
    Indicates that a given position, role, or office is simultaneously held by more than one incumbent.
  • E. hasOfficeHolderType
    Indicates that an office or position is associated with a specific type or category of office holder (e.g., elected official, appointed official).
  • 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_69d381c9d3d48190a29ee491e1696a0e completed April 6, 2026, 9:50 a.m.
NER Named-entity recognition batch_69d5278cbf9081909ef419b0144d5019 completed April 7, 2026, 3:49 p.m.
PD Predicate disambiguation batch_69d5190a6dfc819088262957551808a1 completed April 7, 2026, 2:47 p.m.
Created at: April 6, 2026, 12:41 p.m.