Triple

T21748687
Position Surface form Disambiguated ID Type / Status
Subject 灘区 E536853 entity
Predicate borderWith P224 FINISHED
Object 芦屋市
芦屋市は、兵庫県南東部に位置し、高級住宅地として知られる阪神間の都市です。
 E1499760 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: 芦屋市 | Statement: [灘区, borderWith, 芦屋市]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 芦屋市
Context triple: [灘区, borderWith, 芦屋市]
  • A. 木津川市
    木津川市は、京都府南部に位置し、奈良県に隣接する住宅都市・歴史観光地として発展している市です。
  • 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. 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."
  • D. 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。
  • E. 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。
  • 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: 芦屋市
Triple: [灘区, borderWith, 芦屋市]
Generated description
芦屋市は、兵庫県南東部に位置し、高級住宅地として知られる阪神間の都市です。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: 芦屋市
Target entity description: 芦屋市は、兵庫県南東部に位置し、高級住宅地として知られる阪神間の都市です。
  • A. 木津川市
    木津川市は、京都府南部に位置し、奈良県に隣接する住宅都市・歴史観光地として発展している市です。
  • 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. 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."
  • D. 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。
  • E. 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。
  • 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_69e0c46eab808190b848242d63a17c47 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f01a77e19c81909bf26f96aa41a7ce completed April 28, 2026, 2:24 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0a2ee08d148190bda4aeeddc28c051 completed May 17, 2026, 9:10 p.m.
NEDg Description generation batch_6a0a30369e04819091a175b93ed685a0 completed May 17, 2026, 9:16 p.m.
NED2 Entity disambiguation (via description) batch_6a0a30ded0f081909589e57a4cc030fd completed May 17, 2026, 9:19 p.m.
Created at: April 16, 2026, 6:50 p.m.