Triple

T11309736
Position Surface form Disambiguated ID Type / Status
Subject 八幡市 E267805 entity
Predicate 隣接自治体 P33892 FINISHED
Object 久御山町
久御山町は、京都府南部に位置し、農業や工業が盛んなベッドタウン的性格を持つ町です。
 E917332 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: 久御山町 | Statement: [八幡市, 隣接自治体, 久御山町]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 久御山町
Context triple: [八幡市, 隣接自治体, 久御山町]
  • A. 高千穂町
    高千穂町は、宮崎県北西部に位置し、神話の里として知られる峡谷や高千穂神社などの観光名所で有名な町です。
  • B. 瑞穂町
    瑞穂町は、日本の東京都西多摩郡に位置する住宅地と自然が混在する町です。
  • C. 甲良町
    甲良町は、滋賀県犬上郡に位置する、歴史的な寺院や田園風景が広がる小規模な町です。
  • D. 川越市
    川越市 is a historic city in Saitama Prefecture, Japan, famed for its well-preserved Edo-period streetscapes and traditional warehouse-style buildings that have earned it the nickname "Little Edo."
  • E. 宍粟市
    宍粟市は、兵庫県西部の中国山地に位置し、豊かな森林資源と自然環境を特徴とする市です。
  • 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: 久御山町
Triple: [八幡市, 隣接自治体, 久御山町]
Generated description
久御山町は、京都府南部に位置し、農業や工業が盛んなベッドタウン的性格を持つ町です。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: 久御山町
Target entity description: 久御山町は、京都府南部に位置し、農業や工業が盛んなベッドタウン的性格を持つ町です。
  • A. 高千穂町
    高千穂町は、宮崎県北西部に位置し、神話の里として知られる峡谷や高千穂神社などの観光名所で有名な町です。
  • B. 瑞穂町
    瑞穂町は、日本の東京都西多摩郡に位置する住宅地と自然が混在する町です。
  • C. 甲良町
    甲良町は、滋賀県犬上郡に位置する、歴史的な寺院や田園風景が広がる小規模な町です。
  • D. 川越市
    川越市 is a historic city in Saitama Prefecture, Japan, famed for its well-preserved Edo-period streetscapes and traditional warehouse-style buildings that have earned it the nickname "Little Edo."
  • E. 宍粟市
    宍粟市は、兵庫県西部の中国山地に位置し、豊かな森林資源と自然環境を特徴とする市です。
  • 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_69d6aaca5c24819083db46a30d86cb34 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9c0b3b88190ac0e3d6a5ad3b9bc completed April 9, 2026, 6:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69e50a70022081908bc74185003a3503 completed April 19, 2026, 5:01 p.m.
NEDg Description generation batch_69e510fb1e288190a7a38fe896d7b91d completed April 19, 2026, 5:29 p.m.
NED2 Entity disambiguation (via description) batch_69e516d0910481908fee176db0d9229b completed April 19, 2026, 5:54 p.m.
Created at: April 8, 2026, 9:32 p.m.