Triple

T12535043
Position Surface form Disambiguated ID Type / Status
Subject 葛城市 E299665 entity
Predicate contains P35 FINISHED
Object 當麻寺
當麻寺 is an ancient Buddhist temple in Nara Prefecture, Japan, renowned for its historic architecture and famous Taima Mandala.
E989404 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: 當麻寺 | Statement: [葛城市, contains, 當麻寺]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 當麻寺
Context triple: [葛城市, contains, 當麻寺]
  • A. 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.
  • B. 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.
  • C. 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。
  • D. 龍山寺
    龍山寺 is a historic and culturally significant Buddhist temple in Taipei, Taiwan, renowned for its intricate architecture and role as a major religious and tourist landmark.
  • 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: 當麻寺
Triple: [葛城市, contains, 當麻寺]
Generated description
當麻寺 is an ancient Buddhist temple in Nara Prefecture, Japan, renowned for its historic architecture and famous Taima Mandala.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 當麻寺
Target entity description: 當麻寺 is an ancient Buddhist temple in Nara Prefecture, Japan, renowned for its historic architecture and famous Taima Mandala.
  • A. 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.
  • B. 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.
  • C. 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。
  • D. 龍山寺
    龍山寺 is a historic and culturally significant Buddhist temple in Taipei, Taiwan, renowned for its intricate architecture and role as a major religious and tourist landmark.
  • 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_69d6ada707008190aaec1238117c9379 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9546d3b2081908d3e0659f8f13678 completed April 10, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65577e3388190b6c1c2e8dee7f6ac completed May 2, 2026, 7:50 p.m.
NEDg Description generation batch_69f6566e7bf88190a33c609caf9b4f3d completed May 2, 2026, 7:54 p.m.
NED2 Entity disambiguation (via description) batch_69f657b1b13c8190984300f24c0b2083 completed May 2, 2026, 7:59 p.m.
Created at: April 8, 2026, 9:57 p.m.