Triple
T17927989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tennoji-ku |
E448247
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object | Shitenno-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: Shitenno-ji | Statement: [Tennoji-ku, hasLandmark, Shitenno-ji]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shitenno-ji Context triple: [Tennoji-ku, hasLandmark, Shitenno-ji]
-
A.
Shitenno-ji
chosen
Shitenno-ji is one of Japan’s oldest Buddhist temples, founded in Osaka in the 6th century and renowned as a major historical and religious site.
-
B.
Ryōzenji
Ryōzenji is a Buddhist temple in Tokushima Prefecture, Japan, best known as the traditional starting point of the Shikoku 88-temple pilgrimage.
-
C.
Daihō-ji
Daihō-ji is a Buddhist temple in Japan known as Temple 44 on the Shikoku Pilgrimage route.
-
D.
Daigo-ji
Daigo-ji is a historic Buddhist temple complex in Kyoto, Japan, renowned for its association with Shingon Buddhism, ancient pagoda, and UNESCO World Heritage status.
-
E.
Isshin-ji Temple
Isshin-ji Temple is a historic Buddhist temple in Osaka, Japan, renowned for its unique Buddha statues made from the cremated ashes of the deceased.
- 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_69d8b9f79d14819095540856928f0e25 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4a5505af88190aa7a5cfee0baa3a4 |
completed | April 19, 2026, 9:50 a.m. |
Created at: April 10, 2026, 10:20 a.m.