Triple

T1929799
Position Surface form Disambiguated ID Type / Status
Subject Sendai E40916 entity
Predicate hasWard P14475 FINISHED
Object 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.
 E389213 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: Miyagino-ku | Statement: [Sendai, hasWard, Miyagino-ku]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Miyagino-ku
Context triple: [Sendai, hasWard, Miyagino-ku]
  • A. 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.
  • B. 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.
  • C. Higashi-ku
    Higashi-ku is a ward in the city of Fukuoka, Japan, known for its coastal location, residential areas, and educational institutions.
  • D. Minami-ku
    Minami-ku is one of the wards of Fukuoka City in Japan, known as a primarily residential area with local commercial centers and public facilities.
  • E. Jōnan-ku
    Jōnan-ku is a residential ward in the city of Fukuoka, Japan, known for its universities, suburban neighborhoods, and access to natural areas.
  • 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: Miyagino-ku
Triple: [Sendai, hasWard, Miyagino-ku]
Generated description
Miyagino-ku is one of the administrative wards of Sendai, Japan, known for its mix of residential areas, commercial facilities, and transportation hubs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Miyagino-ku
Target entity description: Miyagino-ku is one of the administrative wards of Sendai, Japan, known for its mix of residential areas, commercial facilities, and transportation hubs.
  • A. 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.
  • B. 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.
  • C. Higashi-ku
    Higashi-ku is a ward in the city of Fukuoka, Japan, known for its coastal location, residential areas, and educational institutions.
  • D. Minami-ku
    Minami-ku is one of the wards of Fukuoka City in Japan, known as a primarily residential area with local commercial centers and public facilities.
  • E. Jōnan-ku
    Jōnan-ku is a residential ward in the city of Fukuoka, Japan, known for its universities, suburban neighborhoods, and access to natural areas.
  • 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_69a8864711648190b07bed24ed76258e completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb266dcb4819090be83556615d0db completed March 7, 2026, 5:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69b4f00348bc819090bdcc17f8b77c7f completed March 14, 2026, 5:20 a.m.
NEDg Description generation batch_69b4f41c63788190a6b8b6a71d49b5ac completed March 14, 2026, 5:37 a.m.
NED2 Entity disambiguation (via description) batch_69b4f4b218a08190802079fff249deb6 completed March 14, 2026, 5:40 a.m.
Created at: March 4, 2026, 7:35 p.m.