Triple
T11934363
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hongo district |
E283999
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Ueno area |
E151036
|
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: Ueno area | Statement: [Hongo district, near, Ueno area]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ueno area Context triple: [Hongo district, near, Ueno area]
-
A.
Ueno district
Ueno district is a cultural and historical area in Tokyo known for its major museums, temples, and the expansive Ueno Park.
-
B.
Shinjuku Gyoen area
The Shinjuku Gyoen area is a central Tokyo district known for the expansive Shinjuku Gyoen National Garden, a popular urban oasis featuring traditional Japanese, English, and French-style landscapes amid the surrounding city.
-
C.
Ueno
chosen
Ueno is a major district in Tokyo known for Ueno Park, its museums, zoo, and busy transportation hub.
-
D.
Ueno
Ueno is a town in Japan historically known as the birthplace of the renowned haiku poet Matsuo Bashō.
-
E.
Nippori area
Nippori area is a neighborhood in Tokyo known for its traditional shitamachi atmosphere, fabric and textile district, and proximity to major rail connections.
- 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_69d6ab2ce9c48190b5d39511b524f666 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d90306fcf48190a963d2d1932288d1 |
completed | April 10, 2026, 2:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f49ce47d488190af7f832e7719a4ce |
completed | May 1, 2026, 12:30 p.m. |
Created at: April 8, 2026, 9:45 p.m.