Triple
T15336092
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bunkyō City |
E366668
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Nezu Shrine |
—
|
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: Nezu Shrine | Statement: [Bunkyō City, contains, Nezu Shrine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nezu Shrine Context triple: [Bunkyō City, contains, Nezu Shrine]
-
A.
Nezu Shrine
chosen
Nezu Shrine is a historic Shinto shrine in Tokyo renowned for its lush grounds, vermilion torii tunnel, and traditional architecture.
-
B.
Aioi Shrine
Aioi Shrine is a small auxiliary Shinto shrine associated with Kyoto’s historic Shimogamo Shrine, known for its role in local spiritual and cultural traditions.
-
C.
Miho Shrine
Miho Shrine is a Shinto shrine in Matsue, Shimane Prefecture, Japan, renowned for its ancient maritime traditions and strong association with the deity Kotoshironushi (Ebisu).
-
D.
Tenjin shrine
A Tenjin shrine is a type of Shinto shrine dedicated primarily to the deified scholar and poet Sugawara no Michizane, revered as the kami of learning and scholarship.
-
E.
Atago Shrine
Atago Shrine is a historic Shinto shrine in Tokyo known for its steep stone stairway and hilltop location offering views over the city.
- 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_69d85a1355608190a6673ddb67231d54 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e03c5f081908e4d14dbdbc7f7a6 |
completed | April 16, 2026, 1:40 a.m. |
Created at: April 10, 2026, 3:17 a.m.