Triple

T21009677
Position Surface form Disambiguated ID Type / Status
Subject Fukuoka-Kitakyushu metropolitan area E517511 entity
Predicate hasMajorCity P316 FINISHED
Object Asakura 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: Asakura | Statement: [Fukuoka-Kitakyushu metropolitan area, hasMajorCity, Asakura]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Asakura
Context triple: [Fukuoka-Kitakyushu metropolitan area, hasMajorCity, Asakura]
  • A. Asakura chosen
    Asakura is a city in Fukuoka Prefecture, Japan, known for its rural landscapes, historic sites, and agricultural products such as fruits and vegetables.
  • B. Sadozai
    Sadozai is a Pashtun royal dynasty and clan historically associated with the founding rulers of the Durrani Empire in Afghanistan.
  • C. Asashio
    Asashio was a Japanese destroyer that served in the Imperial Japanese Navy during World War II as the lead ship of her class.
  • D. Akechi
    Akechi is a Japanese surname most famously associated with the samurai and general Akechi Mitsuhide, known for his role in the downfall of Oda Nobunaga.
  • E. Atsumori
    Atsumori is a classical Noh play that dramatizes the tragic death and lingering spirit of the young warrior Taira no Atsumori during the Genpei War.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b50192308190a284fcc89dd23a49 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fc3edc548190987a6c2c9936286a completed April 21, 2026, 4:25 a.m.
Created at: April 16, 2026, 1:53 p.m.