Triple

T2750803
Position Surface form Disambiguated ID Type / Status
Subject CDP E60980 entity
Predicate countryGovernanceLevel P5180 FINISHED
Object national 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: national | Statement: [CDP, countryGovernanceLevel, national]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: countryGovernanceLevel
Context triple: [CDP, countryGovernanceLevel, national]
  • A. levelOfGovernment
    Indicates the specific tier or layer within a governmental hierarchy (e.g., local, regional, national) at which an entity operates or an action is taken.
  • B. governingBodyLevel chosen
    Indicates the hierarchical level or tier at which a governing body operates within a political or organizational structure.
  • C. continentGoverned
    Indicates that a governing body or authority exercises political control or administrative power over a continent.
  • D. supportsLevelOfGovernment
    Indicates that one entity provides assistance, endorsement, or resources to a particular level or tier of government (such as local, regional, or national).
  • E. countryGovernment
    Indicates the type or form of government that exercises authority over a given country.
  • 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_69ab4b79846081909096725374d65ce9 completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdb6b6f0c8190901ab032dfb21e37 completed March 7, 2026, 8:01 a.m.
PD Predicate disambiguation batch_69abd82d005c81908a1ac7a1313c6d88 completed March 7, 2026, 7:47 a.m.
Created at: March 6, 2026, 9:56 p.m.