Triple
T8335272
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iga |
E195170
|
entity |
| Predicate | hasSubdivision |
P747
|
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: [Iga, hasSubdivision, Ueno area]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ueno area Context triple: [Iga, hasSubdivision, Ueno area]
-
A.
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.
-
B.
Ueno
chosen
Ueno is a major district in Tokyo known for Ueno Park, its museums, zoo, and busy transportation hub.
-
C.
Ueno
Ueno is a town in Japan historically known as the birthplace of the renowned haiku poet Matsuo Bashō.
-
D.
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.
-
E.
Meiji Shrine area
The Meiji Shrine area is a popular district in Tokyo centered around the historic Meiji Jingu Shinto shrine, known for its expansive forested grounds, cultural sites, and proximity to bustling Harajuku.
- 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_69ca82e87f2c8190bdb71ee29dfc642d |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7fd2ca648190991e398ba70caf8d |
completed | March 31, 2026, 8:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd95d9b92c8190b1eb0e64aa7ea59e |
completed | April 1, 2026, 10:02 p.m. |
Created at: March 30, 2026, 5:57 p.m.