Triple

T31664944
Position Surface form Disambiguated ID Type / Status
Subject Pyongan Province E808099 entity
Predicate territoryNowMostlyIn P8402 FINISHED
Object North Korea NE NERFINISHED

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: North Korea | Statement: [Pyongan Province, territoryNowMostlyIn, North Korea]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: territoryNowMostlyIn
Context triple: [Pyongan Province, territoryNowMostlyIn, North Korea]
  • A. currentTerritoryMostlyIn chosen
    Indicates that the majority of the current territorial area of one entity lies within the territorial boundaries of another entity.
  • B. wasCoreTerritoryOf
    Indicates that a region historically formed the central or most important territorial area belonging to a particular political or cultural entity.
  • C. partOfTerritory
    Indicates that one geographic or administrative area is contained within, and forms a constituent portion of, another territory.
  • D. territoryLaterControlledBy
    Indicates that a territory was subsequently governed, ruled, or administered by a specified controlling entity after an earlier period.
  • E. partlyFormedFromTerritoryOf
    Indicates that an entity was created or established using only a portion of the territory of another entity, rather than its entire area.
  • 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_69f348dbeef4819080b446a7feb6340b completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f6e6029a10819098ff21f58079e70e completed May 3, 2026, 6:06 a.m.
PD Predicate disambiguation batch_69f6e3d5e8188190b1e1c2e5d1b77031 completed May 3, 2026, 5:57 a.m.
Created at: April 30, 2026, 10:59 p.m.