Triple

T14167051
Position Surface form Disambiguated ID Type / Status
Subject 千代田区 E351107 entity
Predicate contains P35 FINISHED
Object 大手町
大手町 is a major business district in central Tokyo known for its concentration of corporate headquarters, financial institutions, and proximity to the Imperial Palace.
E1083108 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: 大手町 | Statement: [千代田区, contains, 大手町]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 大手町
Context triple: [千代田区, contains, 大手町]
  • A. 神宮前
    神宮前 is a district in Shibuya, Tokyo, known for its proximity to Meiji Shrine and the fashionable Harajuku and Omotesando areas.
  • B. 半蔵門
    半蔵門は、東京都千代田区に位置する皇居の西側に設けられた門で、江戸城時代からの歴史を持つ重要な出入口です。
  • C. 高田馬場
    高田馬場 is a bustling neighborhood in Tokyo’s Shinjuku ward known for its major train station, student population, and numerous eateries and entertainment spots.
  • D. Shinbashi
    Shinbashi is a historic commercial and entertainment district in central Tokyo known as a major business hub and gateway between the Ginza area and the Shiodome skyscraper complex.
  • E. Kyobashi commercial district
    The Kyobashi commercial district is a bustling business and shopping area in central Tokyo known for its mix of modern office buildings, retail stores, and dining options between Tokyo and Ginza.
  • 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: 大手町
Triple: [千代田区, contains, 大手町]
Generated description
大手町 is a major business district in central Tokyo known for its concentration of corporate headquarters, financial institutions, and proximity to the Imperial Palace.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 大手町
Target entity description: 大手町 is a major business district in central Tokyo known for its concentration of corporate headquarters, financial institutions, and proximity to the Imperial Palace.
  • A. 神宮前
    神宮前 is a district in Shibuya, Tokyo, known for its proximity to Meiji Shrine and the fashionable Harajuku and Omotesando areas.
  • B. 半蔵門
    半蔵門は、東京都千代田区に位置する皇居の西側に設けられた門で、江戸城時代からの歴史を持つ重要な出入口です。
  • C. 高田馬場
    高田馬場 is a bustling neighborhood in Tokyo’s Shinjuku ward known for its major train station, student population, and numerous eateries and entertainment spots.
  • D. Shinbashi
    Shinbashi is a historic commercial and entertainment district in central Tokyo known as a major business hub and gateway between the Ginza area and the Shiodome skyscraper complex.
  • E. Kyobashi commercial district
    The Kyobashi commercial district is a bustling business and shopping area in central Tokyo known for its mix of modern office buildings, retail stores, and dining options between Tokyo and Ginza.
  • 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_69d8278775fc8190b0802d22ca2f495d completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61b355f08190864c7322bbcb766d completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcf7f57ad88190aeb8ee0f834bfa20 completed May 7, 2026, 8:37 p.m.
NEDg Description generation batch_69fcfdcbd53c81909a347e26b30f9c0b completed May 7, 2026, 9:02 p.m.
NED2 Entity disambiguation (via description) batch_69fcfe9099508190bafd65d0d00129f0 completed May 7, 2026, 9:05 p.m.
Created at: April 10, 2026, 1 a.m.