Triple
T15603026
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shōwa-shinzan |
E375079
|
entity |
| Predicate | nearbyCity |
P350
|
FINISHED |
| Object | Tōyako |
E1040667
|
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: Tōyako | Statement: [Shōwa-shinzan, nearbyCity, Tōyako]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tōyako Context triple: [Shōwa-shinzan, nearbyCity, Tōyako]
-
A.
Tōyako
chosen
Tōyako is a town in Hokkaido, Japan, known for its scenic Lake Tōya, hot spring resorts, and volcanic landscapes within Shikotsu-Toya National Park.
-
B.
Kushiro
Kushiro is a coastal city in eastern Hokkaido, Japan, known for its large fishing port, cool maritime climate, and nearby wetlands rich in wildlife such as red-crowned cranes.
-
C.
Noshiro
Noshiro is a coastal city in northern Japan known for its port on the Sea of Japan and its forestry and basketball traditions.
-
D.
Taku City
Taku City is a municipality in Saga Prefecture, Japan, known for its historic sites and traditional Japanese townscape.
-
E.
Tomakomai
Tomakomai is an industrial port city on the southern coast of Hokkaido, Japan, known for its paper manufacturing, shipping, and ferry connections.
- 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_69d85cce25008190b13b52745fbd719b |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e6399d88190b2c3e781667666d4 |
completed | April 16, 2026, 2:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb59535908190a3d085a5e74b06e8 |
completed | May 9, 2026, 10:30 p.m. |
Created at: April 10, 2026, 4:12 a.m.