Triple
T22904483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Limited Express Romancecar |
E568407
|
entity |
| Predicate | regionServed |
P82
|
FINISHED |
| Object | Hakone area |
—
|
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: Hakone area | Statement: [Limited Express Romancecar, regionServed, Hakone area]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hakone area Context triple: [Limited Express Romancecar, regionServed, Hakone area]
-
A.
Hakone
chosen
Hakone is a popular hot spring resort town in Japan known for its views of Mount Fuji, scenic lakes, and traditional ryokan inns.
-
B.
Kamikochi
Kamikochi is a scenic highland valley in Japan’s Northern Alps renowned for its pristine river, mountain views, and popular hiking trails.
-
C.
Rokkō mountain area
The Rokkō mountain area is a scenic mountainous region near Kobe, Japan, known for its panoramic city and sea views, hot springs, hiking trails, and natural attractions.
-
D.
Mount Fuji area
The Mount Fuji area is a popular region in Japan centered around the iconic Mount Fuji, known for its scenic landscapes, lakes, hot springs, and outdoor recreation.
-
E.
Kuma Kōgen area
The Kuma Kōgen area is a highland region in Ehime Prefecture, Japan, known for its mountainous landscapes, cool climate, and role as a gateway to outdoor activities and nearby peaks.
- 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_69e2458cd9e48190943ad2e34485d939 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1801895f48190bb8d49a41feac7ef |
completed | April 29, 2026, 3:50 a.m. |
Created at: April 17, 2026, 3:41 p.m.