Triple
T21451460
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kyoto-Kawaramachi Station |
E529217
|
entity |
| Predicate | hasExitTo |
P29827
|
FINISHED |
| Object | Shijō-dori |
—
|
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: Shijō-dori | Statement: [Kyoto-Kawaramachi Station, hasExitTo, Shijō-dori]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shijō-dori Context triple: [Kyoto-Kawaramachi Station, hasExitTo, Shijō-dori]
-
A.
Shijo-dori
chosen
Shijo-dori is one of Kyoto’s main east–west streets, famous for its bustling shopping areas and as a central route through the historic Gion district.
-
B.
Karasuma-dori
Karasuma-dori is a major north–south avenue in Kyoto, Japan, known as one of the city’s primary business and transportation corridors.
-
C.
Nagahori-dori
Nagahori-dori is a major east–west thoroughfare in central Osaka, Japan, known for running through busy commercial districts and connecting key shopping and entertainment areas.
-
D.
Kappabashi-dori
Kappabashi-dori is a famous Tokyo shopping street known for its many stores selling kitchenware, restaurant supplies, and realistic plastic food models.
-
E.
Aoyama-dori
Aoyama-dori is a major thoroughfare in Tokyo’s Aoyama district, known for its upscale boutiques, modern architecture, and cultural landmarks.
- 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_69e0c457579481909db68053ed99750c |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9e9d33e648190864b0ef5acf36659 |
completed | April 23, 2026, 9:43 a.m. |
Created at: April 16, 2026, 6:06 p.m.