Triple

T11934282
Position Surface form Disambiguated ID Type / Status
Subject 文京区 E283998 entity
Predicate borders P224 FINISHED
Object 台東区
台東区は東京都東部に位置し、上野や浅草などの歴史的観光地や文化施設が集まる下町エリアとして知られる特別区です。
E954806 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: 台東区 | Statement: [文京区, borders, 台東区]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 台東区
Context triple: [文京区, borders, 台東区]
  • A. 千代田区
    千代田区 is a central special ward of Tokyo that serves as Japan’s political and administrative core, encompassing the Imperial Palace, the National Diet, and numerous government and corporate headquarters.
  • B. 磯子区
    磯子区 is one of the 18 administrative wards of Yokohama in Kanagawa Prefecture, Japan, known as a coastal industrial and residential area facing Tokyo Bay.
  • C. Takatsu-ku
    Takatsu-ku is one of the administrative wards of Kawasaki City in Kanagawa Prefecture, Japan, known as a residential and commercial area within the Greater Tokyo metropolitan region.
  • D. Taisho-ku
    Taisho-ku is one of Osaka City's 24 wards, known for its port facilities, industrial areas, and significant Okinawan community.
  • E. Toshima ward
    Toshima ward is a special ward in Tokyo, Japan, known for its major commercial and entertainment hub Ikebukuro and its dense urban residential neighborhoods.
  • 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: 台東区
Triple: [文京区, borders, 台東区]
Generated description
台東区は東京都東部に位置し、上野や浅草などの歴史的観光地や文化施設が集まる下町エリアとして知られる特別区です。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 台東区
Target entity description: 台東区は東京都東部に位置し、上野や浅草などの歴史的観光地や文化施設が集まる下町エリアとして知られる特別区です。
  • A. 千代田区
    千代田区 is a central special ward of Tokyo that serves as Japan’s political and administrative core, encompassing the Imperial Palace, the National Diet, and numerous government and corporate headquarters.
  • B. 磯子区
    磯子区 is one of the 18 administrative wards of Yokohama in Kanagawa Prefecture, Japan, known as a coastal industrial and residential area facing Tokyo Bay.
  • C. Takatsu-ku
    Takatsu-ku is one of the administrative wards of Kawasaki City in Kanagawa Prefecture, Japan, known as a residential and commercial area within the Greater Tokyo metropolitan region.
  • D. Taisho-ku
    Taisho-ku is one of Osaka City's 24 wards, known for its port facilities, industrial areas, and significant Okinawan community.
  • E. Toshima ward
    Toshima ward is a special ward in Tokyo, Japan, known for its major commercial and entertainment hub Ikebukuro and its dense urban residential neighborhoods.
  • 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_69d6ab2ce9c48190b5d39511b524f666 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d90306fcf48190a963d2d1932288d1 completed April 10, 2026, 2:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f4407cc2388190b0f849fbeed89ab7 completed May 1, 2026, 5:56 a.m.
NEDg Description generation batch_69f448fc874081908fe05f9d8aff11a3 completed May 1, 2026, 6:32 a.m.
NED2 Entity disambiguation (via description) batch_69f44afdc7b08190bdf47cfcb94c34c8 completed May 1, 2026, 6:41 a.m.
Created at: April 8, 2026, 9:45 p.m.