Triple

T23579352
Position Surface form Disambiguated ID Type / Status
Subject Korea E582154 entity
Predicate historicallyBorderedByCountry P47008 FINISHED
Object Japan 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: Japan | Statement: [Korea, historicallyBorderedByCountry, Japan]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: historicallyBorderedByCountry
Context triple: [Korea, historicallyBorderedByCountry, Japan]
  • A. borderHistory
    Indicates the historical changes, events, or status of borders between entities over time.
  • B. historicBoundaryFor chosen
    Indicates that one entity serves as a historical boundary or border associated with another entity, typically reflecting past territorial or administrative limits.
  • C. borderedBy
    Indicates that one entity shares a common boundary or edge with another entity.
  • D. hasHistoricTerritory
    Indicates that an entity possesses or claims a territory that it historically occupied, controlled, or was associated with in the past.
  • E. countryBordering
    Indicates that one country shares a land or maritime boundary directly with another 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_69e248f8d8248190acd5aee77f0d1709 completed April 17, 2026, 2:51 p.m.
NER Named-entity recognition batch_69f1afd8e5ec81909fbdcf68bc14078e completed April 29, 2026, 7:14 a.m.
PD Predicate disambiguation batch_69f118bcc0b08190b25a8dddfd461a0e completed April 28, 2026, 8:29 p.m.
Created at: April 17, 2026, 6:39 p.m.