Triple
T17522849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yahagi River |
E426717
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | Okazaki, Aichi |
—
|
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: Okazaki, Aichi | Statement: [Yahagi River, passesThrough, Okazaki, Aichi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Okazaki, Aichi Context triple: [Yahagi River, passesThrough, Okazaki, Aichi]
-
A.
Tōkai, Aichi
Tōkai, Aichi is a city in central Japan known for its industrial base and proximity to the Nagoya metropolitan area.
-
B.
Okazaki, Mikawa Province
chosen
Okazaki in Mikawa Province is a historic Japanese castle town best known as the birthplace of Tokugawa Ieyasu, founder of the Tokugawa shogunate.
-
C.
Miyoshi, Aichi
Miyoshi, Aichi is a city in central Japan known as a suburban and industrial area within the Greater Nagoya metropolitan region.
-
D.
Tokoname, Aichi Prefecture
Tokoname, Aichi Prefecture is a coastal Japanese city on the Chita Peninsula known for its historic ceramics industry and proximity to Chubu Centrair International Airport.
-
E.
Anjō, Aichi
Anjō, Aichi is a city in Aichi Prefecture, Japan, known as an industrial and commuter hub within the Chūbu region.
- 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_69d889de677081909b22d2657b1f0292 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e452d40ee08190b79d8e3d7f1b1272 |
completed | April 19, 2026, 3:58 a.m. |
Created at: April 10, 2026, 5:49 a.m.