Triple
T16978038
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Osu antique market |
E411864
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Osu 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: Osu Kannon Temple | Statement: [Osu antique market, locatedNear, Osu Kannon Temple]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Osu Kannon Temple Context triple: [Osu antique market, locatedNear, Osu 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.
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.
-
C.
Ambaji Temple
Ambaji Temple is a prominent Hindu pilgrimage shrine dedicated to the goddess Amba, revered as a major Shakti Peetha in western India.
-
D.
Ekō-in Temple
Ekō-in Temple is a historic Buddhist temple in Tokyo’s Ryōgoku district, known for its memorials to the dead and its long association with sumo wrestling tournaments.
-
E.
Daikōji Temple
Daikōji Temple is a Buddhist temple in Japan known as Temple 67 on the Shikoku Pilgrimage route.
- 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_69d886ca8f348190812768ea8d5055ce |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d185a9408190a991bf8a1ef694f0 |
completed | April 18, 2026, 6:46 p.m. |
Created at: April 10, 2026, 5:32 a.m.