Triple

T1765816
Position Surface form Disambiguated ID Type / Status
Subject General E38759 entity
Predicate appointmentAuthority P14126 FINISHED
Object head of state in many countries 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: head of state in many countries | Statement: [General, appointmentAuthority, head of state in many countries]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: appointmentAuthority
Context triple: [General, appointmentAuthority, head of state in many countries]
  • A. designationAuthority chosen
    Indicates the entity that has the official power or responsibility to assign, grant, or confer a particular designation to another entity.
  • B. allocationAuthority
    Indicates that an entity has the power or right to decide how resources, tasks, or responsibilities are distributed among others.
  • C. appointedAs
    Indicates that one entity is formally assigned or designated to hold a specific role, position, or title in relation to another entity.
  • D. appointedBy
    Indicates that one entity has been formally selected or assigned to a position, role, or office by another entity.
  • E. designatesAuthority
    Indicates that one entity formally assigns or confers decision-making power or control over something to another entity.
  • 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_69a8862d562481908d7025a1c1f67c0d completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69ab39fc2c448190bfaf1ee8d474632a completed March 6, 2026, 8:33 p.m.
PD Predicate disambiguation batch_69aa61cbb1288190a7ba38b61905f578 completed March 6, 2026, 5:10 a.m.
Created at: March 4, 2026, 7:31 p.m.