Triple

T11934280
Position Surface form Disambiguated ID Type / Status
Subject 文京区 E283998 entity
Predicate borders P224 FINISHED
Object 新宿区
新宿区は、東京都心に位置し、日本有数の繁華街・オフィス街・行政機関が集まる主要な特別区です。
E954804 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: 新宿区 | Statement: [文京区, borders, 新宿区]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 新宿区
Context triple: [文京区, borders, 新宿区]
  • A. 世田谷区
    世田谷区 is a special ward in western Tokyo known for its large residential areas, relatively high affluence, and numerous parks and cultural facilities.
  • B. 墨田区
    墨田区 is a special ward in Tokyo, Japan, known for landmarks such as the Tokyo Skytree and its traditional shitamachi downtown atmosphere.
  • C. 浦和区
    浦和区 is a central ward of Saitama City in Saitama Prefecture, Japan, known as an administrative, educational, and cultural hub with a long history as the former city of Urawa.
  • D. 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.
  • E. 文京区
    文京区 is a central Tokyo ward known for its educational institutions, cultural facilities, and relatively quiet residential character.
  • 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: 新宿区
Triple: [文京区, borders, 新宿区]
Generated description
新宿区は、東京都心に位置し、日本有数の繁華街・オフィス街・行政機関が集まる主要な特別区です。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 新宿区
Target entity description: 新宿区は、東京都心に位置し、日本有数の繁華街・オフィス街・行政機関が集まる主要な特別区です。
  • A. 世田谷区
    世田谷区 is a special ward in western Tokyo known for its large residential areas, relatively high affluence, and numerous parks and cultural facilities.
  • B. 墨田区
    墨田区 is a special ward in Tokyo, Japan, known for landmarks such as the Tokyo Skytree and its traditional shitamachi downtown atmosphere.
  • C. 浦和区
    浦和区 is a central ward of Saitama City in Saitama Prefecture, Japan, known as an administrative, educational, and cultural hub with a long history as the former city of Urawa.
  • D. 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.
  • E. 文京区
    文京区 is a central Tokyo ward known for its educational institutions, cultural facilities, and relatively quiet residential character.
  • 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.