Triple
T14442555
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Temple 14: Jōrakuji |
E358119
|
entity |
| Predicate | knownAs |
P39
|
FINISHED |
| Object | Joraku-ji |
—
|
NE NERFINISHED |
How this triple was built (2 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: Joraku-ji | Statement: [Temple 14: Jōrakuji, knownAs, Joraku-ji]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joraku-ji Context triple: [Temple 14: Jōrakuji, knownAs, Joraku-ji]
-
A.
Juraku-ji
Juraku-ji is a Buddhist temple in Japan known as Temple 7 on the Shikoku Pilgrimage route.
-
B.
Jōrakuji
chosen
Jōrakuji is a Buddhist temple in Japan best known as Temple 14 on the Shikoku Pilgrimage route.
-
C.
Honpuku-ji
Honpuku-ji is a renowned Buddhist temple on Japan’s Awaji Island, famous for its minimalist “Water Temple” designed by architect Tadao Ando.
-
D.
Kodai-ji
Kodai-ji is a historic Zen Buddhist temple in Kyoto renowned for its beautiful gardens, traditional architecture, and connections to the warlord Toyotomi Hideyoshi.
-
E.
Kenchō-ji
Kenchō-ji is a historic Zen Buddhist temple in Kamakura, Japan, renowned as one of the oldest and most important Zen training monasteries in the country.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8279402a88190821ffa39ae15bccf |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de915d28ec81909e72124e9dd67bfb |
completed | April 14, 2026, 7:11 p.m. |
Created at: April 10, 2026, 1:18 a.m.