Triple
T10567484
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arakawa River |
E249387
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | Kawagoe |
E279257
|
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: Kawagoe | Statement: [Arakawa River, passesThrough, Kawagoe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kawagoe Context triple: [Arakawa River, passesThrough, Kawagoe]
-
A.
Kawagoe
chosen
Kawagoe is a historic Japanese city in Saitama Prefecture, often called "Little Edo" for its well-preserved Edo-period streetscapes and traditional warehouses.
-
B.
Fujikawaguchiko
Fujikawaguchiko is a Japanese resort town in Yamanashi Prefecture known for its views of Mount Fuji and Lake Kawaguchi, hot springs, and access to Fuji Five Lakes.
-
C.
Kitanagoya
Kitanagoya is a city in central Japan known as a residential and commercial suburb within the Nagoya metropolitan area.
-
D.
Nagaoka-kyō
Nagaoka-kyō was an ancient Japanese imperial capital established in the late 8th century, serving briefly as the political center before the court moved to Heian-kyō (Kyoto).
-
E.
Kameoka
Kameoka is a city in Kyoto Prefecture, Japan, known for its rural landscapes, historical sites, and proximity to Kyoto.
- 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_69d381c8bd708190acf3d275c908251e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d5272ef5848190b76d671ea2d26314 |
completed | April 7, 2026, 3:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd191f84bc819096d6cc6167732a98 |
completed | May 7, 2026, 10:58 p.m. |
Created at: April 6, 2026, 12:36 p.m.