Triple

T4590494
Position Surface form Disambiguated ID Type / Status
Subject Nishi-ku, Yokohama E103473 entity
Predicate hasNotableDistrict P295 FINISHED
Object Nishi-Okano
Nishi-Okano is a notable neighborhood within Nishi Ward in the city of Yokohama, Japan.
E577213 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: Nishi-Okano | Statement: [Nishi-ku, Yokohama, hasNotableDistrict, Nishi-Okano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nishi-Okano
Context triple: [Nishi-ku, Yokohama, hasNotableDistrict, Nishi-Okano]
  • A. Toshima
    Toshima is a special ward in northwest Tokyo known for the major commercial and entertainment hub of Ikebukuro and its dense urban residential districts.
  • B. Suginami
    Suginami is a residential ward in western Tokyo, Japan, known for its quiet neighborhoods, anime studios, and vibrant local shopping streets.
  • C. Kawaguchi
    Kawaguchi is a major commuter city in the Greater Tokyo area of Japan, located just north of Tokyo in Saitama Prefecture.
  • D. Moriguchi
    Moriguchi is a city in Japan’s Kansai region that forms part of the Osaka metropolitan area and serves as a residential and commercial hub.
  • E. Kōtō
    Kōtō is a special ward in eastern Tokyo, Japan, known for its mix of residential neighborhoods, waterfront areas, and commercial districts.
  • 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: Nishi-Okano
Triple: [Nishi-ku, Yokohama, hasNotableDistrict, Nishi-Okano]
Generated description
Nishi-Okano is a notable neighborhood within Nishi Ward in the city of Yokohama, Japan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Nishi-Okano
Target entity description: Nishi-Okano is a notable neighborhood within Nishi Ward in the city of Yokohama, Japan.
  • A. Toshima
    Toshima is a special ward in northwest Tokyo known for the major commercial and entertainment hub of Ikebukuro and its dense urban residential districts.
  • B. Suginami
    Suginami is a residential ward in western Tokyo, Japan, known for its quiet neighborhoods, anime studios, and vibrant local shopping streets.
  • C. Kawaguchi
    Kawaguchi is a major commuter city in the Greater Tokyo area of Japan, located just north of Tokyo in Saitama Prefecture.
  • D. Moriguchi
    Moriguchi is a city in Japan’s Kansai region that forms part of the Osaka metropolitan area and serves as a residential and commercial hub.
  • E. Kōtō
    Kōtō is a special ward in eastern Tokyo, Japan, known for its mix of residential neighborhoods, waterfront areas, and commercial districts.
  • 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_69bd43dccaf08190aa89e9991a289719 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd5923c0c88190952137d448d474cf completed March 20, 2026, 2:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c20ce295f081909046cbc278ee6183 completed March 24, 2026, 4:02 a.m.
NEDg Description generation batch_69c2126be31081908265f2c6cfe268dc completed March 24, 2026, 4:26 a.m.
NED2 Entity disambiguation (via description) batch_69c213074e7881908281063e5e250906 completed March 24, 2026, 4:28 a.m.
Created at: March 20, 2026, 1:11 p.m.