Triple
T13345996
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Route 36 |
E317950
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | Noboribetsu |
E517206
|
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: Noboribetsu | Statement: [National Route 36, passesThrough, Noboribetsu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Noboribetsu Context triple: [National Route 36, passesThrough, Noboribetsu]
-
A.
Noboribetsu
chosen
Noboribetsu is a hot spring resort city in Hokkaido, Japan, famed for its dramatic volcanic landscapes and numerous onsen.
-
B.
Ninohe
Ninohe is a small city in northeastern Japan known for its rural landscapes, traditional culture, and location within Iwate Prefecture in the Tōhoku region.
-
C.
Kujūkuri
Kujūkuri is a long, sandy coastal town and beach area on the eastern shore of Chiba Prefecture, Japan, known for its surfing spots and scenic Pacific shoreline.
-
D.
Nihonmatsu
Nihonmatsu is a historic city in northeastern Japan known for its castle ruins, traditional festivals, and scenic views of nearby Mount Adatara.
-
E.
Rusutsu
Rusutsu is a major ski and resort area in Japan known for its extensive, high-quality powder snow terrain and year-round outdoor activities.
- 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_69d806b5a3c08190b42c267fb092f98a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99e89c65c819093f3bea11d6073c5 |
completed | April 11, 2026, 1:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fed314bb9481908144c5399aa62ffa |
completed | May 9, 2026, 6:24 a.m. |
Created at: April 9, 2026, 9:31 p.m.