Triple

T11857187
Position Surface form Disambiguated ID Type / Status
Subject 龍安寺 E282067 entity
Predicate locatedNear P294 FINISHED
Object 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.
E951646 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: 仁和寺 | Statement: [龍安寺, locatedNear, 仁和寺]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 仁和寺
Context triple: [龍安寺, locatedNear, 仁和寺]
  • 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. 法隆寺
    法隆寺は、奈良県斑鳩町にある世界最古級の木造建築群を有する仏教寺院です。
  • C. 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.
  • D. 龍安寺
    龍安寺 is a Zen Buddhist temple in Kyoto, Japan, renowned for its iconic rock garden and status as a UNESCO World Heritage Site.
  • E. 元興寺
    元興寺(Gangō-ji)は、奈良市にある日本最古級の仏教寺院の一つで、法相宗の古刹として世界遺産「古都奈良の文化財」にも含まれる歴史的寺院である。
  • 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: 仁和寺
Triple: [龍安寺, locatedNear, 仁和寺]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 仁和寺
Target entity description: 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.
  • 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. 法隆寺
    法隆寺は、奈良県斑鳩町にある世界最古級の木造建築群を有する仏教寺院です。
  • C. 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.
  • D. 龍安寺
    龍安寺 is a Zen Buddhist temple in Kyoto, Japan, renowned for its iconic rock garden and status as a UNESCO World Heritage Site.
  • E. 元興寺
    元興寺(Gangō-ji)は、奈良市にある日本最古級の仏教寺院の一つで、法相宗の古刹として世界遺産「古都奈良の文化財」にも含まれる歴史的寺院である。
  • 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_69d6ab287ba48190a5178779fd19b9b7 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a699089c8190b7a298baf13dcded completed April 10, 2026, 7:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69f2816404ac81909129347607fb5fd3 completed April 29, 2026, 10:08 p.m.
NEDg Description generation batch_69f28d363cac8190b961f17245db493c completed April 29, 2026, 10:59 p.m.
NED2 Entity disambiguation (via description) batch_69f29150bf508190bdf037d40e445e6d completed April 29, 2026, 11:16 p.m.
Created at: April 8, 2026, 9:43 p.m.