Triple
T7248499
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rokkō Cable Car |
E156535
|
entity |
| Predicate | connects |
P390
|
FINISHED |
| Object | Mount Rokkō area |
E510221
|
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: Mount Rokkō area | Statement: [Rokkō Cable Car, connects, Mount Rokkō area]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mount Rokkō area Context triple: [Rokkō Cable Car, connects, Mount Rokkō area]
-
A.
Mount Akagi area
Mount Akagi area is a scenic mountainous region in Gunma Prefecture, Japan, known for its volcanic landscapes, hiking trails, and lakes.
-
B.
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.
-
C.
Mount Rokko tourist area
chosen
Mount Rokko tourist area is a popular leisure and sightseeing region near Kobe, Japan, known for its scenic mountain views, outdoor recreation, and family-friendly attractions.
-
D.
Aoyama area
The Aoyama area is an upscale Tokyo neighborhood known for its fashionable boutiques, contemporary architecture, and trendy cafes and galleries.
-
E.
Midorigaoka
Midorigaoka is a residential neighborhood located within Tokyo's Meguro ward in Japan.
- 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_69c68827b5e481908dc05e145b2c92d4 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ea763f208190af1210cd8d2a05c9 |
completed | March 27, 2026, 8:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7db1278b08190bab9f01287040492 |
completed | March 28, 2026, 1:43 p.m. |
Created at: March 27, 2026, 2:56 p.m.