Triple
T23469693
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 中央区 |
E569191
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object | 銀座四丁目交差点 |
—
|
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: 銀座四丁目交差点 | Statement: [中央区, hasLandmark, 銀座四丁目交差点]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 銀座四丁目交差点 Context triple: [中央区, hasLandmark, 銀座四丁目交差点]
-
A.
Ginza 4-chome intersection
chosen
Ginza 4-chome intersection is a famous central crossroads in Tokyo’s upscale Ginza district, known for its luxury shopping, neon-lit streets, and iconic clocktower skyline.
-
B.
Aoyama-itchome intersection
Aoyama-itchome intersection is a major Tokyo crossroads and transit hub in the Aoyama district, known for connecting key avenues and providing access to nearby commercial and governmental areas.
-
C.
半蔵門
半蔵門は、東京都千代田区に位置する皇居の西側に設けられた門で、江戸城時代からの歴史を持つ重要な出入口です。
-
D.
Omotesando crossing
Omotesando crossing is a prominent intersection in Tokyo’s upscale Omotesando district, known for its luxury boutiques, stylish architecture, and tree-lined avenues.
-
E.
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.
- 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_69e2458ebd808190b3298163132cfb0b |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a6feb5688190ad4ce42fc9590adb |
completed | April 29, 2026, 6:36 a.m. |
Created at: April 17, 2026, 5:54 p.m.