Triple

T27488196
Position Surface form Disambiguated ID Type / Status
Subject 広田弘毅 E693800 entity
Predicate 駐在経験国 P138376 FINISHED
Object 韓国 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: 韓国 | Statement: [広田弘毅, 駐在経験国, 韓国]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: 駐在経験国
Context triple: [広田弘毅, 駐在経験国, 韓国]
  • A. countryOfExperience chosen
    Indicates that an entity has gained experience (such as work, study, or professional activity) within the specified country.
  • B. visitedCountry
    Indicates that an entity has traveled to and spent time in a particular country.
  • C. hasCountry
    Indicates that one entity possesses, is associated with, or is located within a specific country.
  • D. countryOfMission
    Indicates that an entity (such as a mission, project, or operation) is associated with or takes place in a particular country.
  • E. visitedConstituentCountry
    Indicates that one entity has traveled to and spent time in a country that is part of a larger sovereign state or political union.
  • 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_69ef5382b9648190be0b1ef2ad5d043c completed April 27, 2026, 12:16 p.m.
NER Named-entity recognition batch_69f6359e3d3c81909814e2f0a7fb0ea9 completed May 2, 2026, 5:34 p.m.
PD Predicate disambiguation batch_69f631871c888190bf29466fe4254e51 completed May 2, 2026, 5:16 p.m.
Created at: April 27, 2026, 1:03 p.m.