Triple
T11588025
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meiji-dori |
E274802
|
entity |
| Predicate | hasJunctionWith |
P1018
|
FINISHED |
| Object | Roppongi-dori |
E916749
|
NE FINISHED |
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: Roppongi-dori | Statement: [Meiji-dori, hasJunctionWith, Roppongi-dori]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roppongi-dori Context triple: [Meiji-dori, hasJunctionWith, Roppongi-dori]
-
A.
Roppongi Keyakizaka-dori
chosen
Roppongi Keyakizaka-dori is a stylish, tree-lined street in Tokyo’s Roppongi district known for its upscale shops, dining, and especially its illuminated winter night views of Tokyo Tower.
-
B.
Omotesando
Omotesando is a fashionable, tree-lined avenue in central Tokyo known for its high-end boutiques, modern architecture, and trendy cafes.
-
C.
Meiji-dori
Meiji-dori is a major thoroughfare in Tokyo known for running through fashionable districts like Harajuku and connecting several key neighborhoods across the city.
-
D.
Shimbashi
Shimbashi is a major business and entertainment district in central Tokyo, known for its busy railway station, salaryman nightlife, and numerous izakaya bars.
-
E.
Toranomon
Toranomon is a central business district in Tokyo known for its government offices, corporate headquarters, and proximity to major transport and commercial hubs.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6aae6b14c81908dc5a74bad7591f9 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d89463360c8190b91228c46bfe2e5f |
completed | April 10, 2026, 6:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef1307da188190918d0f50b2fd37fa |
completed | April 27, 2026, 7:40 a.m. |
Created at: April 8, 2026, 9:38 p.m.