Triple

T70086
Position Surface form Disambiguated ID Type / Status
Subject Africa E1402 entity
Predicate hasNumberOfDependentTerritories P3811 FINISHED
Object several 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: several | Statement: [Africa, hasNumberOfDependentTerritories, several]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasNumberOfDependentTerritories
Context triple: [Africa, hasNumberOfDependentTerritories, several]
  • A. hasOverseasTerritory
    Indicates that one entity possesses or controls a territory located outside its own primary geographic or sovereign domain.
  • B. numberOfUnionTerritories
    Indicates the total count of union territories associated with a given country or administrative entity.
  • C. sovereignState
    Indicates that an entity is recognized as an independent, self-governing state with ultimate authority over its territory and not subject to any higher political power.
  • D. independenceRecognized
    Indicates that one entity formally acknowledges another entity’s status as independent and self-governing.
  • E. multiNationalState
    Indicates a state whose population is composed of multiple distinct national or ethnic groups under a single political authority.
  • 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_69a24c06b3bc8190aa4ac89026115efc completed Feb. 28, 2026, 1:59 a.m.
NER Named-entity recognition batch_69a24fd16c248190a6ee4cd96c388772 completed Feb. 28, 2026, 2:15 a.m.
PD Predicate disambiguation batch_69a24eaa0df88190add55579b2b9fd02 completed Feb. 28, 2026, 2:10 a.m.
PDg Predicate description generation batch_69a24fcf5a88819088c5fa4c08476358 completed Feb. 28, 2026, 2:15 a.m.
Created at: Feb. 28, 2026, 2:03 a.m.