Triple
T19689046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 御堂筋 |
E472785
|
entity |
| Predicate | parallelTo |
P1868
|
FINISHED |
| Object | 四つ橋筋 |
—
|
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: 四つ橋筋 | Statement: [御堂筋, parallelTo, 四つ橋筋]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 四つ橋筋 Context triple: [御堂筋, parallelTo, 四つ橋筋]
-
A.
四つ橋筋
chosen
四つ橋筋 is a major north–south arterial street in central Osaka, Japan, running parallel to Midosuji and serving as an important urban traffic corridor.
-
B.
Kokusai-dori
Kokusai-dori is Naha’s main bustling shopping and entertainment street, famous for its shops, restaurants, and vibrant nightlife in Okinawa, Japan.
-
C.
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.
-
D.
Sanjo-dori
Sanjo-dori is a historic and bustling east–west street in central Kyoto, known for its shops, restaurants, and traditional urban atmosphere.
-
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_69d8e515bef88190bc30781aea50537a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6420e5b788190a63ff6b83383b0e8 |
completed | April 20, 2026, 3:11 p.m. |
Created at: April 10, 2026, 1:45 p.m.