Triple
T10052216
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Moiwa |
E208773
|
entity |
| Predicate | hasViewOf |
P854
|
FINISHED |
| Object | Sapporo city |
E40366
|
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: Sapporo city | Statement: [Mount Moiwa, hasViewOf, Sapporo city]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sapporo city Context triple: [Mount Moiwa, hasViewOf, Sapporo city]
-
A.
Sapporo
chosen
Sapporo is the capital and largest city of Japan’s northern Hokkaido prefecture, known for its annual snow festival, beer, and ski resorts.
-
B.
Teine-ku, Sapporo
Teine-ku, Sapporo is one of the western wards of Sapporo, Japan, known for its residential areas and the nearby Mount Teine ski and recreation facilities.
-
C.
Hakodate
Hakodate is a historic port city on Japan’s northern island of Hokkaido, known for its scenic night views from Mount Hakodate and its blend of Japanese and Western-influenced architecture.
-
D.
Fuji City
Fuji City is an industrial city in Shizuoka Prefecture, Japan, known for its paper manufacturing industry and views of nearby Mount Fuji.
-
E.
Niigata
Niigata is a major coastal city in north-central Japan known for its important seaport on the Sea of Japan, rice production, and sake brewing.
- 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_69ca836094408190a36a1ea7e9a86fcd |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cdcf9135bc8190a48a2e5cbafca0cd |
completed | April 2, 2026, 2:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69deafff4b8c819099d47b48773c3629 |
completed | April 14, 2026, 9:22 p.m. |
Created at: March 30, 2026, 8:56 p.m.