Triple
T22603117
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shimo Senbon |
E574881
|
entity |
| Predicate | hasAccessPoint |
P1985
|
FINISHED |
| Object | Yoshino Station area |
—
|
NE NERFINISHED |
How this triple was built (3 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: Yoshino Station area | Statement: [Shimo Senbon, hasAccessPoint, Yoshino Station area]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yoshino Station area Context triple: [Shimo Senbon, hasAccessPoint, Yoshino Station area]
-
A.
Sakuragichō Station area
The Sakuragichō Station area is a central urban district in Yokohama known for its major transit hub, waterfront access, and proximity to attractions like Minato Mirai.
-
B.
Fujinomiya Station area
Fujinomiya Station area is the central district surrounding Fujinomiya’s main railway station, serving as a local hub of transportation, commerce, and access to nearby attractions such as Mount Fuji.
-
C.
Kinshichō Station area
The Kinshichō Station area is a major commercial and entertainment district in eastern Tokyo known for its large shopping complexes, restaurants, and convenient rail connections.
-
D.
Kanayama Station area
The Kanayama Station area is a major commercial and transportation hub in Nagoya, known for its busy train interchange, shopping facilities, and entertainment venues.
-
E.
Kawasaki Station area
The Kawasaki Station area is a major urban commercial and transportation hub in Kawasaki City, known for its large shopping complexes, entertainment facilities, and dense business district surrounding Kawasaki Station.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yoshino Station area Target entity description: The Yoshino Station area is a gateway district in Yoshino, Nara Prefecture, serving as the main access point for visitors heading into the scenic Yoshino region known for its cherry blossoms and mountain temples.
-
A.
Sakuragichō Station area
The Sakuragichō Station area is a central urban district in Yokohama known for its major transit hub, waterfront access, and proximity to attractions like Minato Mirai.
-
B.
Fujinomiya Station area
Fujinomiya Station area is the central district surrounding Fujinomiya’s main railway station, serving as a local hub of transportation, commerce, and access to nearby attractions such as Mount Fuji.
-
C.
Kinshichō Station area
The Kinshichō Station area is a major commercial and entertainment district in eastern Tokyo known for its large shopping complexes, restaurants, and convenient rail connections.
-
D.
Kanayama Station area
The Kanayama Station area is a major commercial and transportation hub in Nagoya, known for its busy train interchange, shopping facilities, and entertainment venues.
-
E.
Kawasaki Station area
The Kawasaki Station area is a major urban commercial and transportation hub in Kawasaki City, known for its large shopping complexes, entertainment facilities, and dense business district surrounding Kawasaki Station.
- F. None of above. chosen
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_69e245bc11308190b69d794d5d1e0bb6 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1626eb178819096866d03a78f82fc |
completed | April 29, 2026, 1:44 a.m. |
Created at: April 17, 2026, 2:51 p.m.