Triple
T15479926
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kamogawa |
E376888
|
entity |
| Predicate | crossedBy |
P416
|
FINISHED |
| Object | Nijo Ohashi |
E479234
|
NE FINISHED |
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: Nijo Ohashi | Statement: [Kamogawa, crossedBy, Nijo Ohashi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nijo Ohashi Context triple: [Kamogawa, crossedBy, Nijo Ohashi]
-
A.
Sanjo Ohashi
chosen
Sanjo Ohashi is a historic bridge in Kyoto, Japan, long regarded as a key terminus of the Tōkaidō road and an important crossing point in the city.
-
B.
Yoshitaka Ohno
Yoshitaka Ohno is a Japanese mathematician known for his work in number theory, particularly in the study of multiple zeta values.
-
C.
Tamón Yamaguchi
Tamón Yamaguchi was an Imperial Japanese Navy admiral and aircraft carrier task force commander renowned for his aggressive leadership during World War II, particularly in the Pacific Theater.
-
D.
Yoshitaka Nakamura
Yoshitaka Nakamura is a Japanese screenwriter and director known for his work on television dramas and anime adaptations.
-
E.
Ken Nakajima
Ken Nakajima was a renowned Japanese landscape architect celebrated for designing traditional-style Japanese gardens around the world.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d85cd21dcc81908646251b1c26ea00 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03f8a77a081909f12f13660452f4a |
completed | April 16, 2026, 1:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff28d38a4819085bf051b566c17e7 |
completed | May 10, 2026, 2:50 a.m. |
Created at: April 10, 2026, 3:34 a.m.