Triple

T1061666
Position Surface form Disambiguated ID Type / Status
Subject Under Secretary of State for Political Affairs E22919 entity
Predicate officeLevel P14125 FINISHED
Object sub-cabinet level position 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: sub-cabinet level position | Statement: [Under Secretary of State for Political Affairs, officeLevel, sub-cabinet level position]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: officeLevel
Context triple: [Under Secretary of State for Political Affairs, officeLevel, sub-cabinet level position]
  • A. designationLevel chosen
    Indicates the specific rank, tier, or level assigned to an entity within a designation or classification system.
  • B. office
    Indicates that an entity holds or occupies an official position, role, or post within an organization or institution.
  • C. officeInvolved
    Indicates that a particular office or organizational unit is involved or participates in a specified event, action, or relationship.
  • D. leftOffice
    Indicates that an entity ceased holding or performing the duties of a particular office or position.
  • E. officeCategory
    Indicates the classification or type of an office within a defined categorization scheme.
  • 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_69a493dada0481909c43649f9843ea91 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4ba6e35ac8190802341c31bda0e3b completed March 1, 2026, 10:15 p.m.
PD Predicate disambiguation batch_69a4b7340a048190807363f19d17a58f completed March 1, 2026, 10:01 p.m.
Created at: March 1, 2026, 7:42 p.m.