Triple

T23301654
Position Surface form Disambiguated ID Type / Status
Subject 法隆寺 E590318 entity
Predicate 別当寺格 P151783 FINISHED
Object 大寺
大寺は、日本の古代から中世にかけて国家的・宗教的に重要な役割を担った大規模な仏教寺院を指す概念である。
E1580284 NE FINISHED

How this triple was built (5 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: 大寺 | Statement: [法隆寺, 別当寺格, 大寺]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 大寺
Context triple: [法隆寺, 別当寺格, 大寺]
  • A. 大日寺
    大日寺 is a Buddhist temple in Japan known as the fourth stop on the Shikoku 88-temple pilgrimage.
  • B. 山寺
    山寺(山形県山形市の立石寺)は、山肌に点在する堂宇と絶景で知られる天台宗の名刹・観光名所です。
  • C. 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。
  • D. 道隆寺
    道隆寺 is a historic Buddhist temple in Japan known for its traditional architecture and religious significance.
  • E. 當麻寺
    當麻寺 is an ancient Buddhist temple in Nara Prefecture, Japan, renowned for its historic architecture and famous Taima Mandala.
  • 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: 大寺
Triple: [法隆寺, 別当寺格, 大寺]
Generated description
大寺は、日本の古代から中世にかけて国家的・宗教的に重要な役割を担った大規模な仏教寺院を指す概念である。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 大寺
Target entity description: 大寺は、日本の古代から中世にかけて国家的・宗教的に重要な役割を担った大規模な仏教寺院を指す概念である。
  • A. 大日寺
    大日寺 is a Buddhist temple in Japan known as the fourth stop on the Shikoku 88-temple pilgrimage.
  • B. 山寺
    山寺(山形県山形市の立石寺)は、山肌に点在する堂宇と絶景で知られる天台宗の名刹・観光名所です。
  • C. 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。
  • D. 道隆寺
    道隆寺 is a historic Buddhist temple in Japan known for its traditional architecture and religious significance.
  • E. 當麻寺
    當麻寺 is an ancient Buddhist temple in Nara Prefecture, Japan, renowned for its historic architecture and famous Taima Mandala.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: 別当寺格
Context triple: [法隆寺, 別当寺格, 大寺]
  • A. 本山
    Indicates a relationship or action involving "Benshan," but the predicate alone is too ambiguous to determine a specific relational meaning without additional context.
  • B. 参列者
    Indicates a relationship where an entity attends or is present at a ceremony, event, or formal gathering.
  • C. successorAsDaimyoOfHikone
    Indicates that one entity became the next daimyō (feudal lord) of Hikone, directly succeeding another in that position.
  • D. SakaeIs
    Indicates that one entity is identified as or classified as "Sakae" in relation to another entity or context.
  • E. 後身事業者
    Indicates that one entity is the successor organization or business that continues or takes over the operations, roles, or functions of another.
  • F. None of above. chosen

Provenance (7 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_69e25d1c0ecc8190a355aa229f06d0e0 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f196d37fd08190ad2d199c54324c02 completed April 29, 2026, 5:27 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c4c9730908190960a47f7fee9e0c2 completed May 19, 2026, 11:42 a.m.
NEDg Description generation batch_6a0c4ee292f08190a44326d433f37c65 completed May 19, 2026, 11:52 a.m.
NED2 Entity disambiguation (via description) batch_6a0c4f796b688190a8971ebd238e08f2 completed May 19, 2026, 11:54 a.m.
PD Predicate disambiguation batch_69effcf325f88190b320268c3c551abb completed April 28, 2026, 12:18 a.m.
PDg Predicate description generation batch_69f01d88b4ec8190a2a17a88e0eda178 completed April 28, 2026, 2:38 a.m.
Created at: April 17, 2026, 5:04 p.m.