Triple

T2786805
Position Surface form Disambiguated ID Type / Status
Subject Kawasaki E61828 entity
Predicate hasWard P14475 FINISHED
Object Kawasaki-ku
Kawasaki-ku is a central ward of Kawasaki City in Kanagawa Prefecture, Japan, known for its urban districts, commercial centers, and industrial areas along Tokyo Bay.
E432349 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: Kawasaki-ku | Statement: [Kawasaki, hasWard, Kawasaki-ku]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kawasaki-ku
Context triple: [Kawasaki, hasWard, Kawasaki-ku]
  • A. Wakabayashi-ku
    Wakabayashi-ku is one of the administrative wards of Sendai, Japan, encompassing residential, commercial, and coastal areas in the eastern part of the city.
  • B. Higashi-ku
    Higashi-ku is a ward in the city of Fukuoka, Japan, known for its coastal location, residential areas, and educational institutions.
  • C. Nishi-ku
    Nishi-ku is a central ward of Yokohama, Japan, known as a major commercial and business district that includes the Minato Mirai 21 waterfront area.
  • D. Nishi-ku
    Nishi-ku is a ward in Fukuoka, Japan, known for its coastal areas, residential neighborhoods, and access to both urban amenities and natural scenery.
  • E. Miyagino-ku
    Miyagino-ku is one of the administrative wards of Sendai, Japan, known for its mix of residential areas, commercial facilities, and transportation hubs.
  • 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: Kawasaki-ku
Triple: [Kawasaki, hasWard, Kawasaki-ku]
Generated description
Kawasaki-ku is a central ward of Kawasaki City in Kanagawa Prefecture, Japan, known for its urban districts, commercial centers, and industrial areas along Tokyo Bay.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kawasaki-ku
Target entity description: Kawasaki-ku is a central ward of Kawasaki City in Kanagawa Prefecture, Japan, known for its urban districts, commercial centers, and industrial areas along Tokyo Bay.
  • A. Wakabayashi-ku
    Wakabayashi-ku is one of the administrative wards of Sendai, Japan, encompassing residential, commercial, and coastal areas in the eastern part of the city.
  • B. Higashi-ku
    Higashi-ku is a ward in the city of Fukuoka, Japan, known for its coastal location, residential areas, and educational institutions.
  • C. Nishi-ku
    Nishi-ku is a central ward of Yokohama, Japan, known as a major commercial and business district that includes the Minato Mirai 21 waterfront area.
  • D. Nishi-ku
    Nishi-ku is a ward in Fukuoka, Japan, known for its coastal areas, residential neighborhoods, and access to both urban amenities and natural scenery.
  • E. Miyagino-ku
    Miyagino-ku is one of the administrative wards of Sendai, Japan, known for its mix of residential areas, commercial facilities, and transportation hubs.
  • 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_69ab4b7f51d881908768300ebd2fbdae completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abddb0d3488190a3f2bf47ebb35802 completed March 7, 2026, 8:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69b5db52bcfc8190857a3ea5157d8416 completed March 14, 2026, 10:04 p.m.
NEDg Description generation batch_69b5dbe844e4819099dbd1ed65f262fb completed March 14, 2026, 10:06 p.m.
NED2 Entity disambiguation (via description) batch_69b5dc5a2b008190907150ada5714fac completed March 14, 2026, 10:08 p.m.
Created at: March 6, 2026, 9:57 p.m.