Triple
T21350650
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nankai Railway Namba Station |
E526466
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Nipponbashi |
—
|
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: Nipponbashi | Statement: [Nankai Railway Namba Station, near, Nipponbashi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nipponbashi Context triple: [Nankai Railway Namba Station, near, Nipponbashi]
-
A.
Nipponbashi
chosen
Nipponbashi is a district in Osaka, Japan, known for its electronics shops, anime and manga stores, and otaku culture, often compared to Tokyo’s Akihabara.
-
B.
Tenjinbashi
Tenjinbashi is a well-known district in Osaka, Japan, famous for its long covered shopping street, Tenjinbashisuji Shotengai, lined with shops, restaurants, and traditional businesses.
-
C.
Nihonbashi
Nihonbashi is a historic commercial district in central Tokyo known for its iconic bridge, traditional merchants, and major financial and retail centers.
-
D.
Kyōbashi
Kyōbashi is a historic commercial and business district in central Tokyo, located between Tokyo Station and the Ginza area.
-
E.
Nijūbashi
Nijūbashi is the iconic pair of bridges at the main entrance to Tokyo's Imperial Palace, famous for their elegant arches reflected in the surrounding moat.
- 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_69e0b51cd5cc81909ac1187971e8a8ad |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8ad31087481909d41e9d28286f04d |
completed | April 22, 2026, 11:12 a.m. |
Created at: April 16, 2026, 5:04 p.m.