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.