Triple

T8416524
Position Surface form Disambiguated ID Type / Status
Subject Ministry of Peace E198741 entity
Predicate oneOfFourMinistries P82064 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: [Ministry of Peace, oneOfFourMinistries, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: oneOfFourMinistries
Context triple: [Ministry of Peace, oneOfFourMinistries, true]
  • A. numberOfMinistries
    Indicates the total count of ministries associated with or belonging to a given entity.
  • B. typeOfMinistry
    Indicates the specific category or kind of ministry that an entity belongs to or represents.
  • C. hasMinistries
    Indicates that an entity possesses, oversees, or is organized into one or more ministries as subordinate units or departments.
  • D. scopeOfMinistry
    Indicates the range of responsibilities, activities, or areas of authority covered by a particular ministry or ministerial role.
  • E. ministerialDepartmentOf
    Indicates that one entity is a ministerial department that is formally part of, and subordinate to, another governing body or jurisdiction.
  • F. None of above. chosen

Provenance (4 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_69ca831201b481909e137936ef99ff11 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cb84c5121081908efa3eca25406d3a completed March 31, 2026, 8:24 a.m.
PD Predicate disambiguation batch_69cb70d70ea081909c3dc1bd2ec14f85 completed March 31, 2026, 6:59 a.m.
PDg Predicate description generation batch_69cb77690720819099de1e22b84a9563 completed March 31, 2026, 7:27 a.m.
Created at: March 30, 2026, 6:06 p.m.