Triple

T4590496
Position Surface form Disambiguated ID Type / Status
Subject Nishi-ku, Yokohama E103473 entity
Predicate hasNotableDistrict P295 FINISHED
Object Kitasaiwai
Kitasaiwai is a prominent commercial and business district in Nishi Ward, Yokohama, known for its offices, shopping facilities, and urban infrastructure.
 E454680 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: Kitasaiwai | Statement: [Nishi-ku, Yokohama, hasNotableDistrict, Kitasaiwai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kitasaiwai
Context triple: [Nishi-ku, Yokohama, hasNotableDistrict, Kitasaiwai]
  • A. Nakanai
    Nakanai is an Austronesian language spoken on the island of New Britain in Papua New Guinea, known for its role in the linguistic diversity of the Bismarck Archipelago.
  • B. Takamikura
    Takamikura is the ornate imperial throne used in Kyoto for the enthronement ceremonies of Japanese emperors.
  • C. Keiyo
    Keiyo is a Southern Nilotic language spoken primarily by the Keiyo people of Kenya’s Rift Valley region.
  • D. Shimotsuki
    Shimotsuki was a Japanese destroyer of the Imperial Japanese Navy that served in World War II before being sunk in late 1944.
  • 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: Kitasaiwai
Triple: [Nishi-ku, Yokohama, hasNotableDistrict, Kitasaiwai]
Generated description
Kitasaiwai is a prominent commercial and business district in Nishi Ward, Yokohama, known for its offices, shopping facilities, and urban infrastructure.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kitasaiwai
Target entity description: Kitasaiwai is a prominent commercial and business district in Nishi Ward, Yokohama, known for its offices, shopping facilities, and urban infrastructure.
  • A. Nakanai
    Nakanai is an Austronesian language spoken on the island of New Britain in Papua New Guinea, known for its role in the linguistic diversity of the Bismarck Archipelago.
  • B. Takamikura
    Takamikura is the ornate imperial throne used in Kyoto for the enthronement ceremonies of Japanese emperors.
  • C. Keiyo
    Keiyo is a Southern Nilotic language spoken primarily by the Keiyo people of Kenya’s Rift Valley region.
  • D. Shimotsuki
    Shimotsuki was a Japanese destroyer of the Imperial Japanese Navy that served in World War II before being sunk in late 1944.
  • 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_69bde0cdc7e8819088758c1d6d8e866d completed March 21, 2026, 12:05 a.m.
NEDg Description generation batch_69bde21999688190afc48da7fa2cd869 completed March 21, 2026, 12:11 a.m.
NED2 Entity disambiguation (via description) batch_69bde283e1988190bfa3545d2a362294 completed March 21, 2026, 12:12 a.m.
Created at: March 20, 2026, 1:11 p.m.