Triple
T13172193
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eikan-do Zenrin-ji |
E313003
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object |
Eikandō
Eikandō is a historic Buddhist temple in Kyoto, Japan, renowned for its autumn foliage and iconic statue of the Amida Buddha looking over its shoulder.
|
E1133904
|
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: Eikandō | Statement: [Eikan-do Zenrin-ji, hasAlternativeName, Eikandō]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eikandō Context triple: [Eikan-do Zenrin-ji, hasAlternativeName, Eikandō]
-
A.
Takamikura
Takamikura is the ornate imperial throne used in Kyoto for the enthronement ceremonies of Japanese emperors.
-
B.
Sankashū
Sankashū is a renowned anthology of waka poetry by the Japanese poet-monk Saigyō, celebrated for its deeply reflective and nature-focused verse from the late Heian period.
-
C.
Fukusaki
Fukusaki is a town in Hyōgo Prefecture, Japan, known for its rural setting and association with folklorist Kunio Yanagita.
-
D.
Shakujii
Shakujii is a residential district in Nerima, Tokyo, known for its large parks, ponds, and suburban atmosphere.
-
E.
Ikenobo
Ikenobo is the oldest and most traditional school of Japanese flower arranging (ikebana), renowned for codifying many of the art’s classical styles and principles.
- 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: Eikandō Triple: [Eikan-do Zenrin-ji, hasAlternativeName, Eikandō]
Generated description
Eikandō is a historic Buddhist temple in Kyoto, Japan, renowned for its autumn foliage and iconic statue of the Amida Buddha looking over its shoulder.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Eikandō Target entity description: Eikandō is a historic Buddhist temple in Kyoto, Japan, renowned for its autumn foliage and iconic statue of the Amida Buddha looking over its shoulder.
-
A.
Takamikura
Takamikura is the ornate imperial throne used in Kyoto for the enthronement ceremonies of Japanese emperors.
-
B.
Sankashū
Sankashū is a renowned anthology of waka poetry by the Japanese poet-monk Saigyō, celebrated for its deeply reflective and nature-focused verse from the late Heian period.
-
C.
Fukusaki
Fukusaki is a town in Hyōgo Prefecture, Japan, known for its rural setting and association with folklorist Kunio Yanagita.
-
D.
Shakujii
Shakujii is a residential district in Nerima, Tokyo, known for its large parks, ponds, and suburban atmosphere.
-
E.
Ikenobo
Ikenobo is the oldest and most traditional school of Japanese flower arranging (ikebana), renowned for codifying many of the art’s classical styles and principles.
- 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_69d806ac3ee081909b2fd27d060aa974 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c2f22b881908a0af3af0a0af971 |
completed | April 10, 2026, 11:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe9db383cc8190b1c65d202785838a |
completed | May 9, 2026, 2:36 a.m. |
| NEDg | Description generation | batch_69fe9e6ec16081909cc55fd11bc89eb4 |
completed | May 9, 2026, 2:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe9eedca1481908ce438991184d62e |
completed | May 9, 2026, 2:41 a.m. |
Created at: April 9, 2026, 9:13 p.m.