Triple
T16676768
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Banga |
E405232
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Fuji-san |
—
|
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: Fuji-san | Statement: [Banga, hasPart, Fuji-san]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fuji-san Context triple: [Banga, hasPart, Fuji-san]
-
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 Akan Fuji
Mount Akan Fuji is a picturesque, conical volcano in Hokkaido, Japan, known for its resemblance to Mount Fuji and its location within Akan-Mashu National Park.
-
C.
Fujiyama
Fujiyama is a famous steel roller coaster in Japan known for its great height, speed, and record-breaking status when it opened.
-
D.
Mount Yamashiro
Mount Yamashiro is a Japanese mountain whose name was historically significant enough to be used for the Imperial Japanese Navy battleship Yamashiro.
-
E.
Mount Yatsugatake
Mount Yatsugatake is a prominent volcanic mountain range in central Honshu, Japan, known for its rugged peaks, alpine scenery, and popularity among hikers and climbers.
- 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_69d8838c28748190b3f5967c743940ab |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37d6b69cc8190b19632e1b4293569 |
completed | April 18, 2026, 12:47 p.m. |
Created at: April 10, 2026, 5:19 a.m.