Triple

T12049055
Position Surface form Disambiguated ID Type / Status
Subject 千駄ヶ谷 E286864 entity
Predicate adjacentTo P224 FINISHED
Object 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.
E960855 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: 神宮前 | Statement: [千駄ヶ谷, adjacentTo, 神宮前]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 神宮前
Context triple: [千駄ヶ谷, adjacentTo, 神宮前]
  • A. 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。
  • B. 大宮駅
    大宮駅は、埼玉県さいたま市大宮区に位置する東日本旅客鉄道(JR東日本)や東武鉄道、埼玉新都市交通などが乗り入れる北関東有数のターミナル駅です。
  • C. Toranomon
    Toranomon is a central business district in Tokyo known for its government offices, corporate headquarters, and proximity to major transport and commercial hubs.
  • D. Otemachi
    Otemachi is a major business district in central Tokyo known for its concentration of corporate headquarters, financial institutions, and proximity to the Imperial Palace.
  • E. 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.
  • 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: 神宮前
Triple: [千駄ヶ谷, adjacentTo, 神宮前]
Generated description
神宮前 is a district in Shibuya, Tokyo, known for its proximity to Meiji Shrine and the fashionable Harajuku and Omotesando areas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 神宮前
Target entity description: 神宮前 is a district in Shibuya, Tokyo, known for its proximity to Meiji Shrine and the fashionable Harajuku and Omotesando areas.
  • A. 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。
  • B. 大宮駅
    大宮駅は、埼玉県さいたま市大宮区に位置する東日本旅客鉄道(JR東日本)や東武鉄道、埼玉新都市交通などが乗り入れる北関東有数のターミナル駅です。
  • C. Toranomon
    Toranomon is a central business district in Tokyo known for its government offices, corporate headquarters, and proximity to major transport and commercial hubs.
  • D. Otemachi
    Otemachi is a major business district in central Tokyo known for its concentration of corporate headquarters, financial institutions, and proximity to the Imperial Palace.
  • E. 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.
  • 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_69d6ab4780948190bdb9f7620c2ac27e completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d904227958819084dbd5eb2566c735 completed April 10, 2026, 2:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69f49dc459308190bc88cb550e1d5b86 completed May 1, 2026, 12:34 p.m.
NEDg Description generation batch_69f53d95d4fc8190b5f4e460646bec2a completed May 1, 2026, 11:56 p.m.
NED2 Entity disambiguation (via description) batch_69f56505c0b481909f9caaf338f73033 completed May 2, 2026, 2:44 a.m.
Created at: April 8, 2026, 9:47 p.m.