Triple

T16467081
Position Surface form Disambiguated ID Type / Status
Subject Dōryūji E399960 entity
Predicate hasJapaneseName P9882 FINISHED
Object 道隆寺
道隆寺 is a historic Buddhist temple in Japan known for its traditional architecture and religious significance.
E1215744 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: 道隆寺 | Statement: [Dōryūji, hasJapaneseName, 道隆寺]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 道隆寺
Context triple: [Dōryūji, hasJapaneseName, 道隆寺]
  • A. 白峯寺
    白峯寺 is a historic Buddhist temple in Kagawa Prefecture, Japan, known as Temple 81 on the Shikoku Pilgrimage.
  • B. 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).
  • C. 長尾寺
    長尾寺 is a Buddhist temple in Kagawa Prefecture that serves as Temple 87 on Japan’s renowned Shikoku Pilgrimage.
  • D. 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.
  • E. 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。
  • 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: 道隆寺
Triple: [Dōryūji, hasJapaneseName, 道隆寺]
Generated description
道隆寺 is a historic Buddhist temple in Japan known for its traditional architecture and religious significance.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 道隆寺
Target entity description: 道隆寺 is a historic Buddhist temple in Japan known for its traditional architecture and religious significance.
  • A. 白峯寺
    白峯寺 is a historic Buddhist temple in Kagawa Prefecture, Japan, known as Temple 81 on the Shikoku Pilgrimage.
  • B. 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).
  • C. 長尾寺
    長尾寺 is a Buddhist temple in Kagawa Prefecture that serves as Temple 87 on Japan’s renowned Shikoku Pilgrimage.
  • D. 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.
  • E. 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。
  • 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_69d87f2dac988190b74d6e185fa88ba4 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32dcd707081908fb7ca91a8c09e0a completed April 18, 2026, 7:07 a.m.
NED1 Entity disambiguation (via context triple) batch_6a004f575ed48190a24d6af74565189d completed May 10, 2026, 9:26 a.m.
NEDg Description generation batch_6a00525b579c81909df181059d0e3db8 completed May 10, 2026, 9:39 a.m.
NED2 Entity disambiguation (via description) batch_6a0052ee614881908eb8f7c031ff8f7c completed May 10, 2026, 9:42 a.m.
Created at: April 10, 2026, 5:11 a.m.