Triple
T11285435
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Takadanobaba Station |
E267173
|
entity |
| Predicate | connectsToArea |
P845
|
FINISHED |
| Object | Ikebukuro area |
E73529
|
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: Ikebukuro area | Statement: [Takadanobaba Station, connectsToArea, Ikebukuro area]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ikebukuro area Context triple: [Takadanobaba Station, connectsToArea, Ikebukuro area]
-
A.
Ikebukuro
chosen
Ikebukuro is a major commercial and entertainment district in Tokyo known for its large train station, shopping complexes, and vibrant youth culture.
-
B.
Iidabashi area
The Iidabashi area is a central Tokyo district known for its major train hub, office buildings, universities, and proximity to the Kagurazaka neighborhood.
-
C.
Ueno district
Ueno district is a cultural and historical area in Tokyo known for its major museums, temples, and the expansive Ueno Park.
-
D.
Nishi-Ikebukuro
Nishi-Ikebukuro is a neighborhood in Tokyo known as the western part of the Ikebukuro area, featuring a mix of residential streets, commercial facilities, and educational institutions.
-
E.
Naka-Meguro area
The Naka-Meguro area is a trendy Tokyo neighborhood known for its cherry tree–lined Meguro River, stylish cafés, boutiques, and relaxed residential atmosphere.
- 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_69d6aac993a08190a6f36445ebaf9a43 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9855e8881909bd301718cbd8ca1 |
completed | April 9, 2026, 6:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6b8b5ad3c81909c38c83804b7d337 |
completed | May 3, 2026, 2:53 a.m. |
Created at: April 8, 2026, 9:31 p.m.