Triple

T12548545
Position Surface form Disambiguated ID Type / Status
Subject PW E300034 entity
Predicate associatedGovernmentType P62479 FINISHED
Object Unitary presidential republic 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: Unitary presidential republic | Statement: [PW, associatedGovernmentType, Unitary presidential republic]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: associatedGovernmentType
Context triple: [PW, associatedGovernmentType, Unitary presidential republic]
  • A. targetGovernmentType
    Indicates the form or system of governance that an entity is directed toward, associated with, or intended to influence.
  • B. basedInGovernmentType chosen
    Indicates that an entity operates within or is associated with a government of a specified governmental system or type.
  • C. associatedWithGovernmentBranch
    Indicates that an entity has a formal connection, role, or affiliation with a specific branch of government.
  • D. governmentalUnitType
    Indicates the specific category or classification of a governmental unit (such as federal, state, municipal, or other administrative level) that an entity belongs to.
  • E. associatedWithStateGovernment
    Indicates a relationship where an entity is connected to, operates under, or is formally linked with a state-level government or its institutions.
  • 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_69d6ada707008190aaec1238117c9379 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d95f5507b481908d13cc317b7402f6 completed April 10, 2026, 8:36 p.m.
PD Predicate disambiguation batch_69d95410d0b0819097646edd1b837104 completed April 10, 2026, 7:48 p.m.
Created at: April 8, 2026, 9:58 p.m.