Triple

T3424197
Position Surface form Disambiguated ID Type / Status
Subject Asakusa E72187 entity
Predicate partOf P40 FINISHED
Object Taitō ward
Taitō ward is a central Tokyo district known for its historic neighborhoods, traditional temples, and popular tourist areas such as Asakusa and Ueno.
E358002 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: Taitō ward | Statement: [Asakusa, partOf, Taitō ward]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Taitō ward
Context triple: [Asakusa, partOf, Taitō ward]
  • A. Da Kao Ward
    Da Kao Ward is a historic central neighborhood in Ho Chi Minh City, Vietnam, known for its French colonial architecture, cultural landmarks, and vibrant urban life.
  • B. Thành Công Ward
    Thành Công Ward is an urban administrative subdivision located within Ba Đình District in Hanoi, Vietnam.
  • C. Nhật Tân Ward
    Nhật Tân Ward is an urban administrative subdivision of Hanoi, Vietnam, known for its traditional peach blossom gardens and location along the Red River in Tây Hồ District.
  • D. Naniwa-ku
    Naniwa-ku is a central ward of Osaka, Japan, known for its bustling entertainment districts, shopping streets, and iconic landmarks such as Tsutenkaku Tower.
  • E. Nghĩa Tân Ward
    Nghĩa Tân Ward is an urban residential and commercial neighborhood located within Hanoi’s Cầu Giấy District in Vietnam.
  • 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: Taitō ward
Triple: [Asakusa, partOf, Taitō ward]
Generated description
Taitō ward is a central Tokyo district known for its historic neighborhoods, traditional temples, and popular tourist areas such as Asakusa and Ueno.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Taitō ward
Target entity description: Taitō ward is a central Tokyo district known for its historic neighborhoods, traditional temples, and popular tourist areas such as Asakusa and Ueno.
  • A. Da Kao Ward
    Da Kao Ward is a historic central neighborhood in Ho Chi Minh City, Vietnam, known for its French colonial architecture, cultural landmarks, and vibrant urban life.
  • B. Thành Công Ward
    Thành Công Ward is an urban administrative subdivision located within Ba Đình District in Hanoi, Vietnam.
  • C. Nhật Tân Ward
    Nhật Tân Ward is an urban administrative subdivision of Hanoi, Vietnam, known for its traditional peach blossom gardens and location along the Red River in Tây Hồ District.
  • D. Naniwa-ku
    Naniwa-ku is a central ward of Osaka, Japan, known for its bustling entertainment districts, shopping streets, and iconic landmarks such as Tsutenkaku Tower.
  • E. Nghĩa Tân Ward
    Nghĩa Tân Ward is an urban residential and commercial neighborhood located within Hanoi’s Cầu Giấy District in Vietnam.
  • 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_69ad85ad38e48190b7660c5118a35289 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb9533b588190a18a9b6495712ee0 completed March 8, 2026, 6 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3547468b8819088e7c4cf3b2e2079 completed March 13, 2026, 12:04 a.m.
NEDg Description generation batch_69b35519b7f08190b1ea7514036c3453 completed March 13, 2026, 12:06 a.m.
NED2 Entity disambiguation (via description) batch_69b358fba2208190bc66d5f7d0009ba4 completed March 13, 2026, 12:23 a.m.
Created at: March 8, 2026, 3:15 p.m.