Triple
T14340745
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Temple 7: Jūrakuji |
E355592
|
entity |
| Predicate | romanization |
P2508
|
FINISHED |
| Object |
Jūrakuji
Jūrakuji is a Buddhist temple in Japan best known as Temple 7 on the Shikoku 88-temple pilgrimage route.
|
E1101370
|
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: Jūrakuji | Statement: [Temple 7: Jūrakuji, romanization, Jūrakuji]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jūrakuji Context triple: [Temple 7: Jūrakuji, romanization, Jūrakuji]
-
A.
Shakujii
Shakujii is a residential district in Nerima, Tokyo, known for its large parks, ponds, and suburban atmosphere.
-
B.
Takamikura
Takamikura is the ornate imperial throne used in Kyoto for the enthronement ceremonies of Japanese emperors.
-
C.
Gyōkyō
Gyōkyō was a Buddhist monk traditionally credited with establishing the important Shinto-Buddhist shrine Iwashimizu Hachimangū in Japan.
-
D.
Rinshunkaku
Rinshunkaku is a historic Japanese-style pavilion located within Yokohama’s Sankeien Garden, known for its traditional architecture and scenic setting.
-
E.
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.
- 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: Jūrakuji Triple: [Temple 7: Jūrakuji, romanization, Jūrakuji]
Generated description
Jūrakuji is a Buddhist temple in Japan best known as Temple 7 on the Shikoku 88-temple pilgrimage route.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jūrakuji Target entity description: Jūrakuji is a Buddhist temple in Japan best known as Temple 7 on the Shikoku 88-temple pilgrimage route.
-
A.
Shakujii
Shakujii is a residential district in Nerima, Tokyo, known for its large parks, ponds, and suburban atmosphere.
-
B.
Takamikura
Takamikura is the ornate imperial throne used in Kyoto for the enthronement ceremonies of Japanese emperors.
-
C.
Gyōkyō
Gyōkyō was a Buddhist monk traditionally credited with establishing the important Shinto-Buddhist shrine Iwashimizu Hachimangū in Japan.
-
D.
Rinshunkaku
Rinshunkaku is a historic Japanese-style pavilion located within Yokohama’s Sankeien Garden, known for its traditional architecture and scenic setting.
-
E.
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.
- 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_69d8278fa2108190bc0d0e7939c1eb03 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8e8674c0819091dfbe9c50778c5e |
completed | April 14, 2026, 6:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd647f92348190ba4eb9a420e23ca1 |
completed | May 8, 2026, 4:20 a.m. |
| NEDg | Description generation | batch_69fd684791f88190af230735cbacd35f |
completed | May 8, 2026, 4:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd68aa12088190817d3fdd7c74c844 |
completed | May 8, 2026, 4:38 a.m. |
Created at: April 10, 2026, 1:14 a.m.