Triple

T7668150
Position Surface form Disambiguated ID Type / Status
Subject 河野太郎 E173676 entity
Predicate 選挙区 P15002 FINISHED
Object 神奈川第15区
神奈川第15区は、主に自民党の有力政治家・河野太郎の地盤として知られる神奈川県内の衆議院小選挙区である。
E679233 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: 神奈川第15区 | Statement: [河野太郎, 選挙区, 神奈川第15区]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 神奈川第15区
Context triple: [河野太郎, 選挙区, 神奈川第15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. 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.
  • C. 東京都港区
    東京都港区は、東京湾に面し大使館や企業本社、高級住宅地が集まる東京都心の行政区の一つです。
  • D. Kanagawa 11th district
    Kanagawa 11th district is a Japanese electoral district in Kanagawa Prefecture best known as the long-time stronghold of former Prime Minister Junichiro Koizumi.
  • E. Naka District, Kanagawa
    Naka District, Kanagawa was a former administrative district in Kanagawa Prefecture, Japan, that historically included towns such as Ōiso before being largely absorbed into surrounding municipalities.
  • 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: 神奈川第15区
Triple: [河野太郎, 選挙区, 神奈川第15区]
Generated description
神奈川第15区は、主に自民党の有力政治家・河野太郎の地盤として知られる神奈川県内の衆議院小選挙区である。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 神奈川第15区
Target entity description: 神奈川第15区は、主に自民党の有力政治家・河野太郎の地盤として知られる神奈川県内の衆議院小選挙区である。
  • 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. 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.
  • C. 東京都港区
    東京都港区は、東京湾に面し大使館や企業本社、高級住宅地が集まる東京都心の行政区の一つです。
  • D. Kanagawa 11th district
    Kanagawa 11th district is a Japanese electoral district in Kanagawa Prefecture best known as the long-time stronghold of former Prime Minister Junichiro Koizumi.
  • E. Naka District, Kanagawa
    Naka District, Kanagawa was a former administrative district in Kanagawa Prefecture, Japan, that historically included towns such as Ōiso before being largely absorbed into surrounding municipalities.
  • 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_69c699562484819086752091e3164a27 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c701c26ffc8190894fdef92f877f38 completed March 27, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c89b260000819088d744ea8dc53cd2 completed March 29, 2026, 3:23 a.m.
NEDg Description generation batch_69c89c037d188190ace1c5e80a43aba0 completed March 29, 2026, 3:26 a.m.
NED2 Entity disambiguation (via description) batch_69c89c698f2c8190b5d2717835bd1d82 completed March 29, 2026, 3:28 a.m.
Created at: March 27, 2026, 4 p.m.