Triple

T9960391
Position Surface form Disambiguated ID Type / Status
Subject Moriyama, Shiga E195551 entity
Predicate hasNameInJapanese P28734 FINISHED
Object 守山市
守山市 is a city in Shiga Prefecture, Japan, located on the southeastern shore of Lake Biwa and known for its residential communities and natural surroundings.
 E832928 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: 守山市 | Statement: [Moriyama, Shiga, hasNameInJapanese, 守山市]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 守山市
Context triple: [Moriyama, Shiga, hasNameInJapanese, 守山市]
  • 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. 福知山市
    福知山市 is a city in northern Kyoto Prefecture, Japan, known as a regional commercial and transportation hub with a mix of historical sites and rural landscapes.
  • C. 富山市
    富山市は、日本の本州中央部に位置し、立山連峰や富山湾に囲まれた自然景観と工業・商業が発達した富山県の県庁所在地の都市です。
  • 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. 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.
  • 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: 守山市
Triple: [Moriyama, Shiga, hasNameInJapanese, 守山市]
Generated description
守山市 is a city in Shiga Prefecture, Japan, located on the southeastern shore of Lake Biwa and known for its residential communities and natural surroundings.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: 守山市
Target entity description: 守山市 is a city in Shiga Prefecture, Japan, located on the southeastern shore of Lake Biwa and known for its residential communities and natural surroundings.
  • 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. 福知山市
    福知山市 is a city in northern Kyoto Prefecture, Japan, known as a regional commercial and transportation hub with a mix of historical sites and rural landscapes.
  • C. 富山市
    富山市は、日本の本州中央部に位置し、立山連峰や富山湾に囲まれた自然景観と工業・商業が発達した富山県の県庁所在地の都市です。
  • 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. 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.
  • 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_69ca82eaaa008190a54fa1a9f954b9ad completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb6d219c48190b2084b0eb07ae125 completed April 2, 2026, 12:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69d23d867b408190ab630ae4af0fb827 completed April 5, 2026, 10:46 a.m.
NEDg Description generation batch_69d23eb1c1f481908404225dcccd0697 completed April 5, 2026, 10:51 a.m.
NED2 Entity disambiguation (via description) batch_69d242aea6a08190a73a836e59865c35 completed April 5, 2026, 11:08 a.m.
Created at: March 30, 2026, 8:47 p.m.