Triple
T19052442
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Omihachiman Station |
E466293
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object | Ōmihachiman |
—
|
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: Ōmihachiman | Statement: [Omihachiman Station, serves, Ōmihachiman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ōmihachiman Context triple: [Omihachiman Station, serves, Ōmihachiman]
-
A.
Ōmihachiman
chosen
Ōmihachiman is a historic canal town in Japan known for its well-preserved traditional merchant district and scenic waterways, located in Shiga Prefecture near Lake Biwa.
-
B.
Ogimachi
Ogimachi is a historic Japanese mountain village in the Shirakawa-go region, renowned for its traditional gassho-zukuri farmhouses and UNESCO World Heritage status.
-
C.
Owakudani
Owakudani is a volcanic valley in Hakone, Japan, famous for its active sulfur vents, hot springs, and scenic views of Mount Fuji.
-
D.
Shunpanrō
Shunpanrō is a historic inn in Shimonoseki, Japan, best known as the site where the Treaty of Shimonoseki ending the First Sino-Japanese War was signed.
-
E.
Takamikura
Takamikura is the ornate imperial throne used in Kyoto for the enthronement ceremonies of Japanese emperors.
- 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_69d8dd040fb881909af2a964f65ad208 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5dc031ff881908e8c68c7aaff3733 |
completed | April 20, 2026, 7:55 a.m. |
Created at: April 10, 2026, 12:03 p.m.