Triple
T19689052
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 御堂筋 |
E472785
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object | 心斎橋筋商店街入口 |
—
|
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: 心斎橋筋商店街入口 | Statement: [御堂筋, hasLandmark, 心斎橋筋商店街入口]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 心斎橋筋商店街入口 Context triple: [御堂筋, hasLandmark, 心斎橋筋商店街入口]
-
A.
神宮前
神宮前 is a district in Shibuya, Tokyo, known for its proximity to Meiji Shrine and the fashionable Harajuku and Omotesando areas.
-
B.
Motomachi shopping street
Motomachi shopping street is a historic and fashionable commercial district in Yokohama known for its upscale boutiques, cafes, and Western-influenced atmosphere.
-
C.
Tenjinbashi-suji shopping street area
Tenjinbashi-suji shopping street area is a famous and bustling traditional shopping arcade in Osaka, Japan, known as one of the longest shopping streets in the country, lined with numerous shops, restaurants, and local businesses.
-
D.
長堀橋
長堀橋は、大阪市中央区に位置し、地下鉄駅やビジネス街・繁華街が集まる市内有数の交通・商業拠点エリアである。
-
E.
Shinsaibashi-suji Shopping Street
chosen
Shinsaibashi-suji Shopping Street is a famous covered shopping arcade in Osaka, Japan, known for its long, bustling pedestrian thoroughfare lined with fashion boutiques, department stores, and restaurants.
- 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.