Triple
T21787643
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hokkaido northern coast |
E537881
|
entity |
| Predicate | hasPortCity |
P2745
|
FINISHED |
| Object | Wakkanai |
—
|
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: Wakkanai | Statement: [Hokkaido northern coast, hasPortCity, Wakkanai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wakkanai Context triple: [Hokkaido northern coast, hasPortCity, Wakkanai]
-
A.
Wakkanai
chosen
Wakkanai is Japan’s northernmost city, located on the island of Hokkaido and known as a gateway to nearby Russian territories across the sea.
-
B.
Simushir
Simushir is an uninhabited volcanic island in the central Kuril Islands chain of Russia, known for its rugged terrain and former Soviet military installations.
-
C.
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.
-
D.
Akkeshi
Akkeshi is a coastal town in eastern Hokkaido, Japan, known for its rich fishing industry, oyster farming, and scenic wetlands.
-
E.
Yuzhno-Sakhalinsk
Yuzhno-Sakhalinsk is a city on Russia’s Sakhalin Island known as a regional administrative, industrial, and transportation center in the Russian Far East.
- 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_69e0c47198f881908cb0d237266c10e9 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f0621c68588190977891055e80a499 |
completed | April 28, 2026, 7:30 a.m. |
Created at: April 16, 2026, 6:52 p.m.