Triple

T5244668
Position Surface form Disambiguated ID Type / Status
Subject Jinju E118428 entity
Predicate hasSisterCity P919 FINISHED
Object Yokote
Yokote is a city in Akita Prefecture, Japan, known for its heavy snowfall and the annual Yokote Kamakura Snow Festival featuring traditional igloo-like snow huts.
 E585403 NE FINISHED

How this triple was built (4 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: Yokote | Statement: [Jinju, hasSisterCity, Yokote]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Yokote
Context triple: [Jinju, hasSisterCity, Yokote]
  • A. Yoiyama
    Yoiyama is the lively evening street festival held before the main Gion Matsuri parade in Kyoto, featuring illuminated festival floats, food stalls, and traditional music.
  • B. Yashio
    Yashio is a district in Tokyo’s Shinagawa Ward, known primarily as a modern waterfront residential and commercial area.
  • C. Kōgō
    Kōgō is the Japanese term used to refer to the empress consort of Japan.
  • D. Kamiyama
    Kamiyama is a Japanese surname borne by various individuals, including artists, athletes, and public figures.
  • E. Yonashiro
    Yonashiro was a former town in Okinawa Prefecture, Japan, that later became part of the city of Uruma through municipal merger.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Yokote
Triple: [Jinju, hasSisterCity, Yokote]
Generated description
Yokote is a city in Akita Prefecture, Japan, known for its heavy snowfall and the annual Yokote Kamakura Snow Festival featuring traditional igloo-like snow huts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Yokote
Target entity description: Yokote is a city in Akita Prefecture, Japan, known for its heavy snowfall and the annual Yokote Kamakura Snow Festival featuring traditional igloo-like snow huts.
  • A. Yoiyama
    Yoiyama is the lively evening street festival held before the main Gion Matsuri parade in Kyoto, featuring illuminated festival floats, food stalls, and traditional music.
  • B. Yashio
    Yashio is a district in Tokyo’s Shinagawa Ward, known primarily as a modern waterfront residential and commercial area.
  • C. Kōgō
    Kōgō is the Japanese term used to refer to the empress consort of Japan.
  • D. Kamiyama
    Kamiyama is a Japanese surname borne by various individuals, including artists, athletes, and public figures.
  • E. Yonashiro
    Yonashiro was a former town in Okinawa Prefecture, Japan, that later became part of the city of Uruma through municipal merger.
  • F. None of above. chosen

Provenance (5 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_69bd4468aacc8190a8196f71855cdf4f completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7b4fa0ec8190bce3da09aa768726 completed March 20, 2026, 4:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69c603c0c8388190b39b2e20c9a02f19 completed March 27, 2026, 4:12 a.m.
NEDg Description generation batch_69c6047bff8c81908cfcaef23b78e022 completed March 27, 2026, 4:15 a.m.
NED2 Entity disambiguation (via description) batch_69c604e8d2748190b9a0505f6803ad07 completed March 27, 2026, 4:17 a.m.
Created at: March 20, 2026, 1:49 p.m.