Triple
T21332071
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ōsu |
E525929
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object | Ōsu Kannon |
—
|
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 | Statement: [Ōsu, hasLandmark, Ōsu Kannon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ōsu Kannon Context triple: [Ōsu, hasLandmark, Ōsu Kannon]
-
A.
Ōsu Kannon
chosen
Ōsu Kannon is a famous Buddhist temple in Nagoya, Japan, known for its large wooden statue of Kannon and its surrounding shopping arcade.
-
B.
Iiyama Kannon
Iiyama Kannon is a Buddhist temple and popular pilgrimage site in Atsugi, Japan, known for its scenic hillside setting and seasonal flower displays.
-
C.
Takasaki Byakue Dai-Kannon
Takasaki Byakue Dai-Kannon is a towering statue of the Buddhist deity Kannon in Takasaki, Japan, renowned as a prominent religious and sightseeing landmark.
-
D.
Kannonji no misasagi
Kannonji no misasagi is an imperial mausoleum in Japan that serves as the traditional burial site of Emperor Sanjō.
-
E.
Kashiwabara no Misasagi
Kashiwabara no Misasagi is an imperial mausoleum in Japan traditionally regarded as the tomb of Emperor Yamabe (Emperor Kanmu).
- 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_69e0b51b90788190a4dd823d962626da |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7ab54706081909445f9cd91a43788 |
completed | April 21, 2026, 4:52 p.m. |
Created at: April 16, 2026, 4:42 p.m.