Triple

T2355313
Position Surface form Disambiguated ID Type / Status
Subject Kagoshima Prefecture E47538 entity
Predicate hasAreaRankInJapan P1170 FINISHED
Object around 10th 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: around 10th | Statement: [Kagoshima Prefecture, hasAreaRankInJapan, around 10th]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasAreaRankInJapan
Context triple: [Kagoshima Prefecture, hasAreaRankInJapan, around 10th]
  • A. gdpRankInJapan
    Indicates the position of an entity in the ordered ranking of GDP values within Japan.
  • B. isPrefecturalCityOf
    Indicates that a city holds the administrative status of a prefecture-level city within a given region or country.
  • C. relativeSizeAmongJapanMainIslands
    Indicates the comparative size ranking of an island relative to the other main islands of Japan.
  • D. hasPrefecture
    Indicates that one administrative region or country possesses or is associated with a specific prefecture as a subordinate territorial unit.
  • E. areaRank chosen
    Indicates the relative ordering or position of an entity based on the size of its area compared to others.
  • 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_69a88a1b678c8190bce986922ba60ce0 completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abcb802da08190980100444010f91e completed March 7, 2026, 6:53 a.m.
PD Predicate disambiguation batch_69abc5981ce48190a3f7852d28276e11 completed March 7, 2026, 6:28 a.m.
Created at: March 4, 2026, 7:54 p.m.