Triple
T17213010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ōsu district |
E417777
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object | Ōsu Kannon Temple |
—
|
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: Ōsu Kannon Temple | Statement: [Ōsu district, hasLandmark, Ōsu Kannon Temple]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ōsu Kannon Temple Context triple: [Ōsu district, hasLandmark, Ōsu Kannon Temple]
-
A.
Osu Kannon Temple
chosen
Osu Kannon Temple is a prominent Buddhist temple and popular cultural and shopping-area centerpiece located in the Ōsu district of Nagoya, Japan.
-
B.
Pujiu Temple
Pujiu Temple is a historic Buddhist temple near Yuncheng in Shanxi, China, renowned for its ancient architecture and association with classic Chinese literature.
-
C.
Iwayaji Temple
Iwayaji Temple is a historic Buddhist temple in Ehime Prefecture, Japan, known as the 45th stop on the Shikoku Pilgrimage and for its dramatic mountainside setting.
-
D.
Daikōji Temple
Daikōji Temple is a Buddhist temple in Japan known as Temple 67 on the Shikoku Pilgrimage route.
-
E.
Kannon-ji Temple
Kannon-ji Temple is a Buddhist temple located in Tokyo’s traditional Sendagi neighborhood, known for its quiet atmosphere and historical charm.
- 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_69d886d779488190b131369541c04e7d |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42dc795d08190b90801a4f8b23afe |
completed | April 19, 2026, 1:20 a.m. |
Created at: April 10, 2026, 5:38 a.m.