Triple

T16264147
Position Surface form Disambiguated ID Type / Status
Subject Temple 75: Zentsūji E394830 entity
Predicate hasJapaneseName P9882 FINISHED
Object 善通寺
善通寺 is a historic Shingon Buddhist temple in Kagawa Prefecture, Japan, renowned as the birthplace and one of the principal pilgrimage sites associated with the monk Kūkai (Kōbō Daishi).
E1204197 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: 善通寺 | Statement: [Temple 75: Zentsūji, hasJapaneseName, 善通寺]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 善通寺
Context triple: [Temple 75: Zentsūji, hasJapaneseName, 善通寺]
  • A. 三井寺
    三井寺は、滋賀県大津市にある天台寺門宗の総本山で、琵琶湖近くに位置する歴史ある古刹です。
  • B. 仁和寺
    仁和寺(Ninna-ji) is a historic Buddhist temple in Kyoto, Japan, renowned as a former imperial monastery and a UNESCO World Heritage Site noted for its classical architecture and gardens.
  • C. 八坂寺
    八坂寺 is a Buddhist temple in Matsuyama, Ehime Prefecture, known as Temple 47 on the Shikoku 88-temple pilgrimage.
  • D. 白峯寺
    白峯寺 is a historic Buddhist temple in Kagawa Prefecture, Japan, known as Temple 81 on the Shikoku Pilgrimage.
  • E. 園城寺
    園城寺 is a historic Tendai Buddhist temple complex in Ōtsu, Shiga Prefecture, Japan, renowned for its ancient halls, cultural treasures, and scenic setting near Lake Biwa.
  • 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: 善通寺
Triple: [Temple 75: Zentsūji, hasJapaneseName, 善通寺]
Generated description
善通寺 is a historic Shingon Buddhist temple in Kagawa Prefecture, Japan, renowned as the birthplace and one of the principal pilgrimage sites associated with the monk Kūkai (Kōbō Daishi).
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 善通寺
Target entity description: 善通寺 is a historic Shingon Buddhist temple in Kagawa Prefecture, Japan, renowned as the birthplace and one of the principal pilgrimage sites associated with the monk Kūkai (Kōbō Daishi).
  • A. 三井寺
    三井寺は、滋賀県大津市にある天台寺門宗の総本山で、琵琶湖近くに位置する歴史ある古刹です。
  • B. 仁和寺
    仁和寺(Ninna-ji) is a historic Buddhist temple in Kyoto, Japan, renowned as a former imperial monastery and a UNESCO World Heritage Site noted for its classical architecture and gardens.
  • C. 八坂寺
    八坂寺 is a Buddhist temple in Matsuyama, Ehime Prefecture, known as Temple 47 on the Shikoku 88-temple pilgrimage.
  • D. 白峯寺
    白峯寺 is a historic Buddhist temple in Kagawa Prefecture, Japan, known as Temple 81 on the Shikoku Pilgrimage.
  • E. 園城寺
    園城寺 is a historic Tendai Buddhist temple complex in Ōtsu, Shiga Prefecture, Japan, renowned for its ancient halls, cultural treasures, and scenic setting near Lake Biwa.
  • 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_69d87f221d8081909b0b2063e7528ba2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e245c672248190a4261be4696d52c5 completed April 17, 2026, 2:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0017b5f3a8819083128cf2b90cfd84 completed May 10, 2026, 5:29 a.m.
NEDg Description generation batch_6a001978fed48190963b327da30c31f0 completed May 10, 2026, 5:36 a.m.
NED2 Entity disambiguation (via description) batch_6a001a0def548190a1d800f858f3cb02 completed May 10, 2026, 5:39 a.m.
Created at: April 10, 2026, 5:05 a.m.