Triple
T15025577
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ryōzenji |
E378203
|
entity |
| Predicate | nativeName |
P15
|
FINISHED |
| Object | 霊山寺 |
E1093107
|
NE FINISHED |
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: 霊山寺 | Statement: [Ryōzenji, nativeName, 霊山寺]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 霊山寺 Context triple: [Ryōzenji, nativeName, 霊山寺]
-
A.
霊山寺
chosen
霊山寺（りょうぜんじ）は、徳島県鳴門市にある四国八十八箇所霊場の第一番札所として知られる真言宗の寺院です。
-
B.
Ishiyama-dera
Ishiyama-dera is a historic Buddhist temple in Japan renowned for its autumn foliage, cultural treasures, and association with the author of The Tale of Genji.
-
C.
Yamashina-dera
Yamashina-dera was an early Buddhist temple in Japan that served as the predecessor and original site of the influential Kōfuku-ji temple associated with the powerful Fujiwara clan.
-
D.
Gotokuji Temple
Gotokuji Temple is a historic Buddhist temple in Tokyo famed as the birthplace of the beckoning cat (maneki-neko) legend and its thousands of cat figurines.
-
E.
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d85cd46b2c819090d054c27787f677 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded7dfcb508190aec8cd667e27a8ea |
completed | April 15, 2026, 12:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe9dd746008190a7347368ee6d20cf |
completed | May 9, 2026, 2:37 a.m. |
Created at: April 10, 2026, 2:57 a.m.