Triple

T4590491
Position Surface form Disambiguated ID Type / Status
Subject Nishi-ku, Yokohama E103473 entity
Predicate hasNotableDistrict P295 FINISHED
Object Nishi-Hiranuma
Nishi-Hiranuma is a notable urban district in Nishi Ward of Yokohama, Japan, known for its central location and mixed residential–commercial character.
 E504366 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-Hiranuma | Statement: [Nishi-ku, Yokohama, hasNotableDistrict, Nishi-Hiranuma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nishi-Hiranuma
Context triple: [Nishi-ku, Yokohama, hasNotableDistrict, Nishi-Hiranuma]
  • A. Yasuji
    Yasuji is a Japanese given name commonly used for males and borne by various notable figures in Japan.
  • B. Fukuhara
    Fukuhara was a historical port district in present-day Kobe, Japan, that briefly served as the seat of the imperial court and political center during the late Heian period.
  • C. Kiyokawa
    Kiyokawa is a small rural village in Kanagawa Prefecture, Japan, known for its mountainous scenery and outdoor recreation.
  • D. Ōhira
    Ōhira is a Japanese surname most notably associated with Masayoshi Ōhira, a former Prime Minister of Japan.
  • E. Wakatsuki
    Wakatsuki was a Japanese destroyer of the Imperial Japanese Navy that served in World War II before being sunk during late-war Pacific naval operations.
  • 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-Hiranuma
Triple: [Nishi-ku, Yokohama, hasNotableDistrict, Nishi-Hiranuma]
Generated description
Nishi-Hiranuma is a notable urban district in Nishi Ward of Yokohama, Japan, known for its central location and mixed residential–commercial character.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nishi-Hiranuma
Target entity description: Nishi-Hiranuma is a notable urban district in Nishi Ward of Yokohama, Japan, known for its central location and mixed residential–commercial character.
  • A. Yasuji
    Yasuji is a Japanese given name commonly used for males and borne by various notable figures in Japan.
  • B. Fukuhara
    Fukuhara was a historical port district in present-day Kobe, Japan, that briefly served as the seat of the imperial court and political center during the late Heian period.
  • C. Kiyokawa
    Kiyokawa is a small rural village in Kanagawa Prefecture, Japan, known for its mountainous scenery and outdoor recreation.
  • D. Ōhira
    Ōhira is a Japanese surname most notably associated with Masayoshi Ōhira, a former Prime Minister of Japan.
  • E. Wakatsuki
    Wakatsuki was a Japanese destroyer of the Imperial Japanese Navy that served in World War II before being sunk during late-war Pacific naval operations.
  • 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_69bef7dcea7481908c4430d07d7213cb completed March 21, 2026, 7:56 p.m.
NEDg Description generation batch_69bef8acecf48190a1d3f56640bf7784 completed March 21, 2026, 7:59 p.m.
NED2 Entity disambiguation (via description) batch_69bef92017948190906d1be3551b54c2 completed March 21, 2026, 8:01 p.m.
Created at: March 20, 2026, 1:11 p.m.