Triple
T15901025
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emperor Go-Yōzei |
E385587
|
entity |
| Predicate | burialPlace |
P196
|
FINISHED |
| Object | Sennyū-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: Sennyū-ji | Statement: [Emperor Go-Yōzei, burialPlace, Sennyū-ji]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sennyū-ji Context triple: [Emperor Go-Yōzei, burialPlace, Sennyū-ji]
-
A.
Sennyū-ji
chosen
Sennyū-ji is a historic Buddhist temple in Kyoto, Japan, renowned as a traditional mausoleum and memorial site for numerous emperors and members of the imperial family.
-
B.
Hotsumisaki-ji
Hotsumisaki-ji is a Buddhist temple in Kōchi Prefecture, Japan, known as Temple 24 on the Shikoku Pilgrimage.
-
C.
Juraku-ji
Juraku-ji is a Buddhist temple in Japan known as Temple 7 on the Shikoku Pilgrimage route.
-
D.
Zenrin-ji
Zenrin-ji, commonly known as Eikan-dō, is a historic Jōdo-sect Buddhist temple in Kyoto famed for its autumn foliage and iconic statue of the Amida Buddha looking over its shoulder.
-
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_69d86da5b800819083a31be937d738b0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1563cd2f081909404d724ecc8785a |
completed | April 16, 2026, 9:35 p.m. |
Created at: April 10, 2026, 4:51 a.m.