Triple

T8619132
Position Surface form Disambiguated ID Type / Status
Subject Yasu, Shiga E204117 entity
Predicate hasNameInJapanese P28734 FINISHED
Object 野洲市
野洲市 is a city located in Shiga Prefecture, Japan, known for its lakeside setting near Lake Biwa and a mix of residential, agricultural, and light industrial areas.
 E746784 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: 野洲市 | Statement: [Yasu, Shiga, hasNameInJapanese, 野洲市]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 野洲市
Context triple: [Yasu, Shiga, hasNameInJapanese, 野洲市]
  • A. 秦野市
    秦野市 is a city in Kanagawa Prefecture, Japan, known for its natural scenery, hiking spots, and agricultural products such as peanuts and tobacco.
  • B. 交野市
    交野市は、大阪府北河内地域に位置する自然豊かな住宅都市で、星田妙見宮や天野川などで知られる市です。
  • C. 丹波市
    丹波市 is a rural city in central Hyōgo Prefecture, Japan, known for its historic castle town atmosphere, agricultural products, and scenic natural landscapes.
  • D. 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。
  • 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: 野洲市
Triple: [Yasu, Shiga, hasNameInJapanese, 野洲市]
Generated description
野洲市 is a city located in Shiga Prefecture, Japan, known for its lakeside setting near Lake Biwa and a mix of residential, agricultural, and light industrial areas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: 野洲市
Target entity description: 野洲市 is a city located in Shiga Prefecture, Japan, known for its lakeside setting near Lake Biwa and a mix of residential, agricultural, and light industrial areas.
  • A. 秦野市
    秦野市 is a city in Kanagawa Prefecture, Japan, known for its natural scenery, hiking spots, and agricultural products such as peanuts and tobacco.
  • B. 交野市
    交野市は、大阪府北河内地域に位置する自然豊かな住宅都市で、星田妙見宮や天野川などで知られる市です。
  • C. 丹波市
    丹波市 is a rural city in central Hyōgo Prefecture, Japan, known for its historic castle town atmosphere, agricultural products, and scenic natural landscapes.
  • D. 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。
  • 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_69ca832ceab8819096e4a9f546695079 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc471458f48190a6d8858f8074727d completed March 31, 2026, 10:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69cebbcb910881909088da53c6e31ae3 completed April 2, 2026, 6:56 p.m.
NEDg Description generation batch_69cebcc22d208190801b4ec58614dfcb completed April 2, 2026, 7 p.m.
NED2 Entity disambiguation (via description) batch_69cebdf3f288819088d83165c741d092 completed April 2, 2026, 7:05 p.m.
Created at: March 30, 2026, 6:26 p.m.