Triple

T7959950
Position Surface form Disambiguated ID Type / Status
Subject Mito, Ibaraki, Japan E184836 entity
Predicate hasAttraction P105 FINISHED
Object Kairakuen
Kairakuen is a renowned Japanese landscape garden famous for its extensive plum tree groves and seasonal flower displays.
E709119 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: Kairakuen | Statement: [Mito, Ibaraki, Japan, hasAttraction, Kairakuen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kairakuen
Context triple: [Mito, Ibaraki, Japan, hasAttraction, Kairakuen]
  • A. Kasuga
    Kasuga was a Japanese warship active in the late 19th century, notably serving in the Boshin War as part of the modern Imperial forces.
  • B. Kasuga
    Kasuga is a suburban city in Japan known for its residential communities and proximity to Fukuoka City on Kyushu Island.
  • C. Midorigaoka
    Midorigaoka is a residential neighborhood located within Tokyo's Meguro ward in Japan.
  • D. Kichijōji
    Kichijōji is a popular Tokyo neighborhood known for its trendy shopping streets, vibrant dining and nightlife, and the expansive Inokashira Park.
  • E. Nagaoka-kyō
    Nagaoka-kyō was an ancient Japanese imperial capital established in the late 8th century, serving briefly as the political center before the court moved to Heian-kyō (Kyoto).
  • 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: Kairakuen
Triple: [Mito, Ibaraki, Japan, hasAttraction, Kairakuen]
Generated description
Kairakuen is a renowned Japanese landscape garden famous for its extensive plum tree groves and seasonal flower displays.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kairakuen
Target entity description: Kairakuen is a renowned Japanese landscape garden famous for its extensive plum tree groves and seasonal flower displays.
  • A. Kasuga
    Kasuga was a Japanese warship active in the late 19th century, notably serving in the Boshin War as part of the modern Imperial forces.
  • B. Kasuga
    Kasuga is a suburban city in Japan known for its residential communities and proximity to Fukuoka City on Kyushu Island.
  • C. Midorigaoka
    Midorigaoka is a residential neighborhood located within Tokyo's Meguro ward in Japan.
  • D. Kichijōji
    Kichijōji is a popular Tokyo neighborhood known for its trendy shopping streets, vibrant dining and nightlife, and the expansive Inokashira Park.
  • E. Nagaoka-kyō
    Nagaoka-kyō was an ancient Japanese imperial capital established in the late 8th century, serving briefly as the political center before the court moved to Heian-kyō (Kyoto).
  • 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_69ca8293a2388190aace944d7ed9c0c0 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3b8136448190890f007fb4fb7625 completed March 31, 2026, 3:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc63b1dca08190926823fce1c0df6f completed April 1, 2026, 12:15 a.m.
NEDg Description generation batch_69cc651b4be08190ad76c70b1d617c1a completed April 1, 2026, 12:21 a.m.
NED2 Entity disambiguation (via description) batch_69cc664700dc819097d149931cf49673 completed April 1, 2026, 12:26 a.m.
Created at: March 30, 2026, 5:12 p.m.