Triple
T5025628
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fujinomiya |
E112966
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Fuji |
E51069
|
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: Fuji | Statement: [Fujinomiya, borderedBy, Fuji]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fuji Context triple: [Fujinomiya, borderedBy, Fuji]
-
A.
Mount Fuji
chosen
Mount Fuji is Japan’s iconic, snow-capped stratovolcano and highest peak, renowned for its nearly symmetrical cone and cultural significance.
-
B.
Mount Yamashiro
Mount Yamashiro is a Japanese mountain whose name was historically significant enough to be used for the Imperial Japanese Navy battleship Yamashiro.
-
C.
Mount Hakkoda
Mount Hakkoda is a volcanic mountain complex in northern Honshu, Japan, known for its heavy snowfall, scenic hiking, and tragic 1902 military snowstorm disaster.
-
D.
Daisetsuzan
Daisetsuzan is a vast mountainous region in central Hokkaido, Japan, renowned for its volcanic peaks, alpine scenery, and rich wildlife.
-
E.
Mount Hachimantai
Mount Hachimantai is a volcanic plateau in Japan’s Ōu Mountains, known for its hot springs, alpine wetlands, and scenic hiking routes within Towada-Hachimantai National Park.
- 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_69bd4435c2f48190be593158cbfcf8a3 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd736a0f8c819091d06275954329e9 |
completed | March 20, 2026, 4:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69becfaf46948190ae05ecab52da2e8d |
completed | March 21, 2026, 5:04 p.m. |
Created at: March 20, 2026, 1:36 p.m.