Triple
T6236869
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | central Tokyo |
E139497
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object | Akihabara Electric Town |
E71481
|
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: Akihabara Electric Town | Statement: [central Tokyo, hasLandmark, Akihabara Electric Town]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Akihabara Electric Town Context triple: [central Tokyo, hasLandmark, Akihabara Electric Town]
-
A.
Akihabara
chosen
Akihabara is a famous Tokyo district known as a major center for electronics, anime, manga, and otaku culture.
-
B.
Nipponbashi Den Den Town
Nipponbashi Den Den Town is Osaka’s main electronics and otaku shopping district, known for its anime, manga, gaming, and hobby stores.
-
C.
Harajuku
Harajuku is a vibrant Tokyo district famous for its youth culture, eclectic street fashion, and trendy shopping and entertainment spots.
-
D.
Ikebukuro
Ikebukuro is a major commercial and entertainment district in Tokyo known for its large train station, shopping complexes, and vibrant youth culture.
-
E.
Tokyo Skytree Town
Tokyo Skytree Town is a large commercial and entertainment complex in Tokyo that surrounds the Tokyo Skytree and features shopping, dining, an aquarium, and various leisure facilities.
- 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_69c008b0e7ac8190808a59573ee646f3 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c063021258819093a9237041816638 |
completed | March 22, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c243ff29248190abbb748601039f60 |
completed | March 24, 2026, 7:57 a.m. |
Created at: March 22, 2026, 4:23 p.m.