Triple

T14383379
Position Surface form Disambiguated ID Type / Status
Subject Temple 71: Iyadaniji E356662 entity
Predicate hasJapaneseName P9882 FINISHED
Object 弥谷寺
弥谷寺 is a historic Shingon Buddhist temple in Kagawa Prefecture, Japan, known as Temple 71 on the Shikoku Pilgrimage.
E1098226 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: 弥谷寺 | Statement: [Temple 71: Iyadaniji, hasJapaneseName, 弥谷寺]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 弥谷寺
Context triple: [Temple 71: Iyadaniji, hasJapaneseName, 弥谷寺]
  • 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. 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.
  • C. 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.
  • D. 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。
  • E. 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.
  • 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: 弥谷寺
Triple: [Temple 71: Iyadaniji, hasJapaneseName, 弥谷寺]
Generated description
弥谷寺 is a historic Shingon Buddhist temple in Kagawa Prefecture, Japan, known as Temple 71 on the Shikoku Pilgrimage.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 弥谷寺
Target entity description: 弥谷寺 is a historic Shingon Buddhist temple in Kagawa Prefecture, Japan, known as Temple 71 on the Shikoku Pilgrimage.
  • 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. 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.
  • C. 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.
  • D. 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。
  • E. 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.
  • 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_69d827927c988190ad98bb0360981783 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de900d28c88190a37feee4743563de completed April 14, 2026, 7:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5511c9e4819089dcbf089ca0dc6a completed May 8, 2026, 3:14 a.m.
NEDg Description generation batch_69fd5671340081909d87978be2a5522b completed May 8, 2026, 3:20 a.m.
NED2 Entity disambiguation (via description) batch_69fd57a787988190bec179e276fe7014 completed May 8, 2026, 3:25 a.m.
Created at: April 10, 2026, 1:16 a.m.